/usr/lib/python2.7/dist-packages/openturns/dist_bundle2.py is in python-openturns 1.3-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# Version 2.0.12
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
"""
Probabilistic distributions.
"""
from sys import version_info
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_dist_bundle2', [dirname(__file__)])
except ImportError:
import _dist_bundle2
return _dist_bundle2
if fp is not None:
try:
_mod = imp.load_module('_dist_bundle2', fp, pathname, description)
finally:
fp.close()
return _mod
_dist_bundle2 = swig_import_helper()
del swig_import_helper
else:
import _dist_bundle2
del version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self,class_type,name,value,static=1):
if (name == "thisown"): return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name,None)
if method: return method(self,value)
if (not static):
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value):
return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name):
if (name == "thisown"): return self.this.own()
method = class_type.__swig_getmethods__.get(name,None)
if method: return method(self)
raise AttributeError(name)
def _swig_repr(self):
try: strthis = "proxy of " + self.this.__repr__()
except: strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except AttributeError:
class _object : pass
_newclass = 0
class SwigPyIterator(_object):
"""Proxy of C++ swig::SwigPyIterator class"""
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _dist_bundle2.delete_SwigPyIterator
__del__ = lambda self : None;
def value(self):
"""value(SwigPyIterator self) -> PyObject *"""
return _dist_bundle2.SwigPyIterator_value(self)
def incr(self, n=1):
"""
incr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
incr(SwigPyIterator self) -> SwigPyIterator
"""
return _dist_bundle2.SwigPyIterator_incr(self, n)
def decr(self, n=1):
"""
decr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
decr(SwigPyIterator self) -> SwigPyIterator
"""
return _dist_bundle2.SwigPyIterator_decr(self, n)
def distance(self, *args):
"""distance(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t"""
return _dist_bundle2.SwigPyIterator_distance(self, *args)
def equal(self, *args):
"""equal(SwigPyIterator self, SwigPyIterator x) -> bool"""
return _dist_bundle2.SwigPyIterator_equal(self, *args)
def copy(self):
"""copy(SwigPyIterator self) -> SwigPyIterator"""
return _dist_bundle2.SwigPyIterator_copy(self)
def next(self):
"""next(SwigPyIterator self) -> PyObject *"""
return _dist_bundle2.SwigPyIterator_next(self)
def __next__(self):
"""__next__(SwigPyIterator self) -> PyObject *"""
return _dist_bundle2.SwigPyIterator___next__(self)
def previous(self):
"""previous(SwigPyIterator self) -> PyObject *"""
return _dist_bundle2.SwigPyIterator_previous(self)
def advance(self, *args):
"""advance(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle2.SwigPyIterator_advance(self, *args)
def __eq__(self, *args):
"""__eq__(SwigPyIterator self, SwigPyIterator x) -> bool"""
return _dist_bundle2.SwigPyIterator___eq__(self, *args)
def __ne__(self, *args):
"""__ne__(SwigPyIterator self, SwigPyIterator x) -> bool"""
return _dist_bundle2.SwigPyIterator___ne__(self, *args)
def __iadd__(self, *args):
"""__iadd__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle2.SwigPyIterator___iadd__(self, *args)
def __isub__(self, *args):
"""__isub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle2.SwigPyIterator___isub__(self, *args)
def __add__(self, *args):
"""__add__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
return _dist_bundle2.SwigPyIterator___add__(self, *args)
def __sub__(self, *args):
"""
__sub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator
__sub__(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t
"""
return _dist_bundle2.SwigPyIterator___sub__(self, *args)
def __iter__(self): return self
SwigPyIterator_swigregister = _dist_bundle2.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
GCC_VERSION = _dist_bundle2.GCC_VERSION
class TestFailed:
"""
TestFailed is used to raise an uniform exception in tests
"""
__type = "TestFailed"
def __init__(self,reason=""):
self.reason = reason
def type(self):
return TestFailed.__type
def what(self):
return self.reason
def __str__(self):
return TestFailed.__type + ": " + self.reason
def __lshift__(self,ch):
self.reason += ch
return self
import openturns.common
import openturns.typ
import openturns.wrapper
class TestResult(openturns.common.PersistentObject):
"""Proxy of C++ OT::TestResult class"""
__swig_setmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, TestResult, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, TestResult, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.TestResult_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(TestResult self) -> OT::String"""
return _dist_bundle2.TestResult_getClassName(self)
def setDescription(self, *args):
"""setDescription(TestResult self, Description description)"""
return _dist_bundle2.TestResult_setDescription(self, *args)
def getDescription(self):
"""getDescription(TestResult self) -> Description"""
return _dist_bundle2.TestResult_getDescription(self)
def __repr__(self):
"""__repr__(TestResult self) -> OT::String"""
return _dist_bundle2.TestResult___repr__(self)
def getBinaryQualityMeasure(self):
"""getBinaryQualityMeasure(TestResult self) -> OT::Bool"""
return _dist_bundle2.TestResult_getBinaryQualityMeasure(self)
def getPValue(self):
"""getPValue(TestResult self) -> OT::NumericalScalar"""
return _dist_bundle2.TestResult_getPValue(self)
def getThreshold(self):
"""getThreshold(TestResult self) -> OT::NumericalScalar"""
return _dist_bundle2.TestResult_getThreshold(self)
def getTestType(self):
"""getTestType(TestResult self) -> OT::String"""
return _dist_bundle2.TestResult_getTestType(self)
def __eq__(self, *args):
"""__eq__(TestResult self, TestResult other) -> OT::Bool"""
return _dist_bundle2.TestResult___eq__(self, *args)
def __init__(self, *args):
"""
__init__(OT::TestResult self) -> TestResult
__init__(OT::TestResult self, OT::String const & type, OT::Bool const binMeasure, OT::NumericalScalar const pVal,
OT::NumericalScalar const pThreshold) -> TestResult
__init__(OT::TestResult self, TestResult other) -> TestResult
__init__(OT::TestResult self, PyObject * pyObj) -> TestResult
"""
this = _dist_bundle2.new_TestResult(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_TestResult
__del__ = lambda self : None;
TestResult_swigregister = _dist_bundle2.TestResult_swigregister
TestResult_swigregister(TestResult)
def TestResult_GetClassName():
"""TestResult_GetClassName() -> OT::String"""
return _dist_bundle2.TestResult_GetClassName()
import openturns.base
import openturns.statistics
import openturns.graph
import openturns.func
import openturns.geom
import openturns.diff
import openturns.optim
import openturns.solver
import openturns.algo
import openturns.experiment
import openturns.model_copula
class HistogramPair(openturns.common.PersistentObject):
"""Proxy of C++ OT::HistogramPair class"""
__swig_setmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, HistogramPair, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, HistogramPair, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.HistogramPair_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(HistogramPair self) -> OT::String"""
return _dist_bundle2.HistogramPair_getClassName(self)
def __eq__(self, *args):
"""__eq__(HistogramPair self, HistogramPair other) -> OT::Bool"""
return _dist_bundle2.HistogramPair___eq__(self, *args)
def setWidth(self, *args):
"""setWidth(HistogramPair self, OT::NumericalScalar const width)"""
return _dist_bundle2.HistogramPair_setWidth(self, *args)
def setHeight(self, *args):
"""setHeight(HistogramPair self, OT::NumericalScalar const height)"""
return _dist_bundle2.HistogramPair_setHeight(self, *args)
def getWidth(self):
"""getWidth(HistogramPair self) -> OT::NumericalScalar"""
return _dist_bundle2.HistogramPair_getWidth(self)
def getHeight(self):
"""getHeight(HistogramPair self) -> OT::NumericalScalar"""
return _dist_bundle2.HistogramPair_getHeight(self)
def getSurface(self):
"""getSurface(HistogramPair self) -> OT::NumericalScalar"""
return _dist_bundle2.HistogramPair_getSurface(self)
def __repr__(self):
"""__repr__(HistogramPair self) -> OT::String"""
return _dist_bundle2.HistogramPair___repr__(self)
def __init__(self, *args):
"""
__init__(OT::HistogramPair self) -> HistogramPair
__init__(OT::HistogramPair self, OT::NumericalScalar const width, OT::NumericalScalar const height) -> HistogramPair
__init__(OT::HistogramPair self, HistogramPair other) -> HistogramPair
"""
this = _dist_bundle2.new_HistogramPair(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_HistogramPair
__del__ = lambda self : None;
HistogramPair_swigregister = _dist_bundle2.HistogramPair_swigregister
HistogramPair_swigregister(HistogramPair)
def HistogramPair_GetClassName():
"""HistogramPair_GetClassName() -> OT::String"""
return _dist_bundle2.HistogramPair_GetClassName()
class Histogram(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::Histogram class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Histogram, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Histogram, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.Histogram_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Histogram self) -> OT::String"""
return _dist_bundle2.Histogram_getClassName(self)
def __eq__(self, *args):
"""__eq__(Histogram self, Histogram other) -> OT::Bool"""
return _dist_bundle2.Histogram___eq__(self, *args)
def __repr__(self):
"""__repr__(Histogram self) -> OT::String"""
return _dist_bundle2.Histogram___repr__(self)
def __str__(self, offset=""):
"""
__str__(Histogram self, OT::String const & offset="") -> OT::String
__str__(Histogram self) -> OT::String
"""
return _dist_bundle2.Histogram___str__(self, offset)
def getRealization(self):
"""getRealization(Histogram self) -> NumericalPoint"""
return _dist_bundle2.Histogram_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Histogram self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Histogram self, NumericalPoint point) -> NumericalPoint
computeDDF(Histogram self, NumericalSample sample) -> NumericalSample
computeDDF(Histogram self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.Histogram_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Histogram self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Histogram self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Histogram self, NumericalSample sample) -> NumericalSample
computePDF(Histogram self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Histogram self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Histogram self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Histogram_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Histogram self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Histogram self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Histogram self, NumericalSample sample) -> NumericalSample
computeCDF(Histogram self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Histogram self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Histogram self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Histogram_computeCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Histogram self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Histogram_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Histogram self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Histogram_computeCDFGradient(self, *args)
def getStandardMoment(self, *args):
"""getStandardMoment(Histogram self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.Histogram_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Histogram self) -> DistributionImplementationPointer"""
return _dist_bundle2.Histogram_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Histogram self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.Histogram_getParametersCollection(self)
def setFirst(self, *args):
"""setFirst(Histogram self, OT::NumericalScalar const first)"""
return _dist_bundle2.Histogram_setFirst(self, *args)
def getFirst(self):
"""getFirst(Histogram self) -> OT::NumericalScalar"""
return _dist_bundle2.Histogram_getFirst(self)
def setPairCollection(self, *args):
"""setPairCollection(Histogram self, HistogramPairCollection collection)"""
return _dist_bundle2.Histogram_setPairCollection(self, *args)
def getPairCollection(self):
"""getPairCollection(Histogram self) -> HistogramPairCollection"""
return _dist_bundle2.Histogram_getPairCollection(self)
def drawPDF(self, *args):
"""
drawPDF(Histogram self) -> Graph
drawPDF(Histogram self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
drawPDF(Histogram self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
"""
return _dist_bundle2.Histogram_drawPDF(self, *args)
def __init__(self, *args):
"""
__init__(OT::Histogram self) -> Histogram
__init__(OT::Histogram self, OT::NumericalScalar const first, HistogramPairCollection collection) -> Histogram
__init__(OT::Histogram self, OT::NumericalScalar const first, NumericalPoint width, NumericalPoint height) -> Histogram
__init__(OT::Histogram self, OT::NumericalScalar first, HistogramPairCollection collection) -> Histogram
__init__(OT::Histogram self, Histogram other) -> Histogram
"""
this = _dist_bundle2.new_Histogram(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_Histogram
__del__ = lambda self : None;
Histogram_swigregister = _dist_bundle2.Histogram_swigregister
Histogram_swigregister(Histogram)
def Histogram_GetClassName():
"""Histogram_GetClassName() -> OT::String"""
return _dist_bundle2.Histogram_GetClassName()
class HistogramPairCollection(_object):
"""Proxy of C++ OT::Collection<(OT::HistogramPair)> class"""
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, HistogramPairCollection, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, HistogramPairCollection, name)
__swig_destroy__ = _dist_bundle2.delete_HistogramPairCollection
__del__ = lambda self : None;
def clear(self):
"""clear(HistogramPairCollection self)"""
return _dist_bundle2.HistogramPairCollection_clear(self)
def __len__(self):
"""__len__(HistogramPairCollection self) -> OT::UnsignedLong"""
return _dist_bundle2.HistogramPairCollection___len__(self)
def __eq__(self, *args):
"""__eq__(HistogramPairCollection self, HistogramPairCollection rhs) -> OT::Bool"""
return _dist_bundle2.HistogramPairCollection___eq__(self, *args)
def __contains__(self, *args):
"""__contains__(HistogramPairCollection self, HistogramPair val) -> OT::Bool"""
return _dist_bundle2.HistogramPairCollection___contains__(self, *args)
def __getitem__(self, *args):
"""__getitem__(HistogramPairCollection self, OT::UnsignedLong const i) -> HistogramPair"""
return _dist_bundle2.HistogramPairCollection___getitem__(self, *args)
def __setitem__(self, *args):
"""__setitem__(HistogramPairCollection self, OT::UnsignedLong const i, HistogramPair val)"""
return _dist_bundle2.HistogramPairCollection___setitem__(self, *args)
def __delitem__(self, *args):
"""__delitem__(HistogramPairCollection self, OT::UnsignedLong const i)"""
return _dist_bundle2.HistogramPairCollection___delitem__(self, *args)
def at(self, *args):
"""
at(HistogramPairCollection self, OT::UnsignedLong const i) -> HistogramPair
at(HistogramPairCollection self, OT::UnsignedLong const i) -> HistogramPair
"""
return _dist_bundle2.HistogramPairCollection_at(self, *args)
def add(self, *args):
"""
add(HistogramPairCollection self, HistogramPair elt)
add(HistogramPairCollection self, HistogramPairCollection coll)
"""
return _dist_bundle2.HistogramPairCollection_add(self, *args)
def getSize(self):
"""getSize(HistogramPairCollection self) -> OT::UnsignedLong"""
return _dist_bundle2.HistogramPairCollection_getSize(self)
def resize(self, *args):
"""resize(HistogramPairCollection self, OT::UnsignedLong const newSize)"""
return _dist_bundle2.HistogramPairCollection_resize(self, *args)
def isEmpty(self):
"""isEmpty(HistogramPairCollection self) -> OT::Bool"""
return _dist_bundle2.HistogramPairCollection_isEmpty(self)
def __repr__(self):
"""__repr__(HistogramPairCollection self) -> OT::String"""
return _dist_bundle2.HistogramPairCollection___repr__(self)
def __str__(self, offset=""):
"""
__str__(HistogramPairCollection self, OT::String const & offset="") -> OT::String
__str__(HistogramPairCollection self) -> OT::String
"""
return _dist_bundle2.HistogramPairCollection___str__(self, offset)
def __init__(self, *args):
"""
__init__(OT::Collection<(OT::HistogramPair)> self) -> HistogramPairCollection
__init__(OT::Collection<(OT::HistogramPair)> self, OT::UnsignedLong const size) -> HistogramPairCollection
__init__(OT::Collection<(OT::HistogramPair)> self, OT::UnsignedLong const size, HistogramPair value) -> HistogramPairCollection
__init__(OT::Collection<(OT::HistogramPair)> self, PyObject * pyObj) -> HistogramPairCollection
__init__(OT::Collection<(OT::HistogramPair)> self, HistogramPairCollection other) -> HistogramPairCollection
"""
this = _dist_bundle2.new_HistogramPairCollection(*args)
try: self.this.append(this)
except: self.this = this
HistogramPairCollection_swigregister = _dist_bundle2.HistogramPairCollection_swigregister
HistogramPairCollection_swigregister(HistogramPairCollection)
class HistogramFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::HistogramFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, HistogramFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, HistogramFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.HistogramFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(HistogramFactory self) -> OT::String"""
return _dist_bundle2.HistogramFactory_getClassName(self)
def build(self, *args):
"""
build(HistogramFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(HistogramFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(HistogramFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(HistogramFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(HistogramFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(HistogramFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.HistogramFactory_build(self, *args)
def buildAsHistogram(self, *args):
"""
buildAsHistogram(HistogramFactory self, NumericalSample sample) -> Histogram
buildAsHistogram(HistogramFactory self) -> Histogram
"""
return _dist_bundle2.HistogramFactory_buildAsHistogram(self, *args)
def __init__(self, *args):
"""
__init__(OT::HistogramFactory self) -> HistogramFactory
__init__(OT::HistogramFactory self, HistogramFactory other) -> HistogramFactory
"""
this = _dist_bundle2.new_HistogramFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_HistogramFactory
__del__ = lambda self : None;
HistogramFactory_swigregister = _dist_bundle2.HistogramFactory_swigregister
HistogramFactory_swigregister(HistogramFactory)
def HistogramFactory_GetClassName():
"""HistogramFactory_GetClassName() -> OT::String"""
return _dist_bundle2.HistogramFactory_GetClassName()
class InverseNormal(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::InverseNormal class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, InverseNormal, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, InverseNormal, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.InverseNormal_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(InverseNormal self) -> OT::String"""
return _dist_bundle2.InverseNormal_getClassName(self)
def __eq__(self, *args):
"""__eq__(InverseNormal self, InverseNormal other) -> OT::Bool"""
return _dist_bundle2.InverseNormal___eq__(self, *args)
def __repr__(self):
"""__repr__(InverseNormal self) -> OT::String"""
return _dist_bundle2.InverseNormal___repr__(self)
def __str__(self, offset=""):
"""
__str__(InverseNormal self, OT::String const & offset="") -> OT::String
__str__(InverseNormal self) -> OT::String
"""
return _dist_bundle2.InverseNormal___str__(self, offset)
def getRealization(self):
"""getRealization(InverseNormal self) -> NumericalPoint"""
return _dist_bundle2.InverseNormal_getRealization(self)
def computePDF(self, *args):
"""
computePDF(InverseNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(InverseNormal self, NumericalPoint point) -> OT::NumericalScalar
computePDF(InverseNormal self, NumericalSample sample) -> NumericalSample
computePDF(InverseNormal self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(InverseNormal self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(InverseNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.InverseNormal_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(InverseNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(InverseNormal self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(InverseNormal self, NumericalSample sample) -> NumericalSample
computeLogPDF(InverseNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.InverseNormal_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(InverseNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(InverseNormal self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(InverseNormal self, NumericalSample sample) -> NumericalSample
computeCDF(InverseNormal self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(InverseNormal self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(InverseNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.InverseNormal_computeCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(InverseNormal self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.InverseNormal_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(InverseNormal self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.InverseNormal_computeLogCharacteristicFunction(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(InverseNormal self) -> NumericalPoint"""
return _dist_bundle2.InverseNormal_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(InverseNormal self) -> NumericalPoint"""
return _dist_bundle2.InverseNormal_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(InverseNormal self) -> NumericalPoint"""
return _dist_bundle2.InverseNormal_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(InverseNormal self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.InverseNormal_getStandardMoment(self, *args)
def setLambdaMu(self, *args):
"""setLambdaMu(InverseNormal self, OT::NumericalScalar const _lambda, OT::NumericalScalar const mu)"""
return _dist_bundle2.InverseNormal_setLambdaMu(self, *args)
def getLambda(self):
"""getLambda(InverseNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.InverseNormal_getLambda(self)
def getMu(self):
"""getMu(InverseNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.InverseNormal_getMu(self)
def getParametersCollection(self):
"""getParametersCollection(InverseNormal self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.InverseNormal_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(InverseNormal self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(InverseNormal self, NumericalPointCollection parametersCollection)
setParametersCollection(InverseNormal self, NumericalPoint parameters)
setParametersCollection(InverseNormal self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.InverseNormal_setParametersCollection(self, *args)
def __init__(self, *args):
"""
__init__(OT::InverseNormal self) -> InverseNormal
__init__(OT::InverseNormal self, OT::NumericalScalar const _lambda, OT::NumericalScalar const mu) -> InverseNormal
__init__(OT::InverseNormal self, InverseNormal other) -> InverseNormal
"""
this = _dist_bundle2.new_InverseNormal(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_InverseNormal
__del__ = lambda self : None;
InverseNormal_swigregister = _dist_bundle2.InverseNormal_swigregister
InverseNormal_swigregister(InverseNormal)
def InverseNormal_GetClassName():
"""InverseNormal_GetClassName() -> OT::String"""
return _dist_bundle2.InverseNormal_GetClassName()
class InverseNormalFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::InverseNormalFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, InverseNormalFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, InverseNormalFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.InverseNormalFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(InverseNormalFactory self) -> OT::String"""
return _dist_bundle2.InverseNormalFactory_getClassName(self)
def build(self, *args):
"""
build(InverseNormalFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(InverseNormalFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(InverseNormalFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(InverseNormalFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(InverseNormalFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(InverseNormalFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(InverseNormalFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.InverseNormalFactory_build(self, *args)
def buildAsInverseNormal(self, *args):
"""
buildAsInverseNormal(InverseNormalFactory self, NumericalSample sample) -> InverseNormal
buildAsInverseNormal(InverseNormalFactory self, NumericalPointCollection parameters) -> InverseNormal
buildAsInverseNormal(InverseNormalFactory self, NumericalPointWithDescriptionCollection parameters) -> InverseNormal
buildAsInverseNormal(InverseNormalFactory self) -> InverseNormal
"""
return _dist_bundle2.InverseNormalFactory_buildAsInverseNormal(self, *args)
def __init__(self, *args):
"""
__init__(OT::InverseNormalFactory self) -> InverseNormalFactory
__init__(OT::InverseNormalFactory self, InverseNormalFactory other) -> InverseNormalFactory
"""
this = _dist_bundle2.new_InverseNormalFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_InverseNormalFactory
__del__ = lambda self : None;
InverseNormalFactory_swigregister = _dist_bundle2.InverseNormalFactory_swigregister
InverseNormalFactory_swigregister(InverseNormalFactory)
def InverseNormalFactory_GetClassName():
"""InverseNormalFactory_GetClassName() -> OT::String"""
return _dist_bundle2.InverseNormalFactory_GetClassName()
class KPermutationsDistribution(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::KPermutationsDistribution class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, KPermutationsDistribution, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, KPermutationsDistribution, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.KPermutationsDistribution_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(KPermutationsDistribution self) -> OT::String"""
return _dist_bundle2.KPermutationsDistribution_getClassName(self)
def __eq__(self, *args):
"""__eq__(KPermutationsDistribution self, KPermutationsDistribution other) -> OT::Bool"""
return _dist_bundle2.KPermutationsDistribution___eq__(self, *args)
def __repr__(self):
"""__repr__(KPermutationsDistribution self) -> OT::String"""
return _dist_bundle2.KPermutationsDistribution___repr__(self)
def __str__(self, offset=""):
"""
__str__(KPermutationsDistribution self, OT::String const & offset="") -> OT::String
__str__(KPermutationsDistribution self) -> OT::String
"""
return _dist_bundle2.KPermutationsDistribution___str__(self, offset)
def getRealization(self):
"""getRealization(KPermutationsDistribution self) -> NumericalPoint"""
return _dist_bundle2.KPermutationsDistribution_getRealization(self)
def computePDF(self, *args):
"""
computePDF(KPermutationsDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(KPermutationsDistribution self, NumericalPoint point) -> OT::NumericalScalar
computePDF(KPermutationsDistribution self, NumericalSample sample) -> NumericalSample
computePDF(KPermutationsDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(KPermutationsDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(KPermutationsDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KPermutationsDistribution_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(KPermutationsDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(KPermutationsDistribution self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(KPermutationsDistribution self, NumericalSample sample) -> NumericalSample
computeLogPDF(KPermutationsDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KPermutationsDistribution_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(KPermutationsDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(KPermutationsDistribution self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(KPermutationsDistribution self, NumericalSample sample) -> NumericalSample
computeCDF(KPermutationsDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(KPermutationsDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(KPermutationsDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KPermutationsDistribution_computeCDF(self, *args)
def getMarginal(self, *args):
"""
getMarginal(KPermutationsDistribution self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(KPermutationsDistribution self, Indices indices) -> DistributionImplementationPointer
getMarginal(KPermutationsDistribution self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(KPermutationsDistribution self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle2.KPermutationsDistribution_getMarginal(self, *args)
def getSupport(self, *args):
"""
getSupport(KPermutationsDistribution self, Interval interval) -> NumericalSample
getSupport(KPermutationsDistribution self) -> NumericalSample
getSupport(KPermutationsDistribution self, Interval interval) -> NumericalSample
"""
return _dist_bundle2.KPermutationsDistribution_getSupport(self, *args)
def getParametersCollection(self):
"""getParametersCollection(KPermutationsDistribution self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.KPermutationsDistribution_getParametersCollection(self)
def setK(self, *args):
"""setK(KPermutationsDistribution self, OT::UnsignedLong const k)"""
return _dist_bundle2.KPermutationsDistribution_setK(self, *args)
def getK(self):
"""getK(KPermutationsDistribution self) -> OT::UnsignedLong"""
return _dist_bundle2.KPermutationsDistribution_getK(self)
def setN(self, *args):
"""setN(KPermutationsDistribution self, OT::UnsignedLong const n)"""
return _dist_bundle2.KPermutationsDistribution_setN(self, *args)
def getN(self):
"""getN(KPermutationsDistribution self) -> OT::UnsignedLong"""
return _dist_bundle2.KPermutationsDistribution_getN(self)
def __init__(self, *args):
"""
__init__(OT::KPermutationsDistribution self) -> KPermutationsDistribution
__init__(OT::KPermutationsDistribution self, OT::UnsignedLong const k, OT::UnsignedLong const n) -> KPermutationsDistribution
__init__(OT::KPermutationsDistribution self, KPermutationsDistribution other) -> KPermutationsDistribution
"""
this = _dist_bundle2.new_KPermutationsDistribution(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_KPermutationsDistribution
__del__ = lambda self : None;
KPermutationsDistribution_swigregister = _dist_bundle2.KPermutationsDistribution_swigregister
KPermutationsDistribution_swigregister(KPermutationsDistribution)
def KPermutationsDistribution_GetClassName():
"""KPermutationsDistribution_GetClassName() -> OT::String"""
return _dist_bundle2.KPermutationsDistribution_GetClassName()
class KernelMixture(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::KernelMixture class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, KernelMixture, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, KernelMixture, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.KernelMixture_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(KernelMixture self) -> OT::String"""
return _dist_bundle2.KernelMixture_getClassName(self)
def __eq__(self, *args):
"""__eq__(KernelMixture self, KernelMixture other) -> OT::Bool"""
return _dist_bundle2.KernelMixture___eq__(self, *args)
def __repr__(self):
"""__repr__(KernelMixture self) -> OT::String"""
return _dist_bundle2.KernelMixture___repr__(self)
def __str__(self, offset=""):
"""
__str__(KernelMixture self, OT::String const & offset="") -> OT::String
__str__(KernelMixture self) -> OT::String
"""
return _dist_bundle2.KernelMixture___str__(self, offset)
def setKernel(self, *args):
"""setKernel(KernelMixture self, Distribution kernel)"""
return _dist_bundle2.KernelMixture_setKernel(self, *args)
def getKernel(self):
"""getKernel(KernelMixture self) -> Distribution"""
return _dist_bundle2.KernelMixture_getKernel(self)
def setBandwidth(self, *args):
"""setBandwidth(KernelMixture self, NumericalPoint bandwidth)"""
return _dist_bundle2.KernelMixture_setBandwidth(self, *args)
def getBandwidth(self):
"""getBandwidth(KernelMixture self) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_getBandwidth(self)
def setInternalSample(self, *args):
"""setInternalSample(KernelMixture self, NumericalSample sample)"""
return _dist_bundle2.KernelMixture_setInternalSample(self, *args)
def getInternalSample(self):
"""getInternalSample(KernelMixture self) -> NumericalSample"""
return _dist_bundle2.KernelMixture_getInternalSample(self)
def getRealization(self):
"""getRealization(KernelMixture self) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(KernelMixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(KernelMixture self, NumericalPoint point) -> NumericalPoint
computeDDF(KernelMixture self, NumericalSample sample) -> NumericalSample
computeDDF(KernelMixture self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.KernelMixture_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(KernelMixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
computePDF(KernelMixture self, NumericalSample sample) -> NumericalSample
computePDF(KernelMixture self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(KernelMixture self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KernelMixture_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(KernelMixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(KernelMixture self, NumericalSample sample) -> NumericalSample
computeCDF(KernelMixture self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(KernelMixture self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KernelMixture_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(KernelMixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(KernelMixture self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(KernelMixture self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KernelMixture_computeComplementaryCDF(self, *args)
def computeSurvivalFunction(self, *args):
"""
computeSurvivalFunction(KernelMixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeSurvivalFunction(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
computeSurvivalFunction(KernelMixture self, NumericalSample sample) -> NumericalSample
computeSurvivalFunction(KernelMixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.KernelMixture_computeSurvivalFunction(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(KernelMixture self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.KernelMixture_computeCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(KernelMixture self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(KernelMixture self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_computeCDFGradient(self, *args)
def getMarginal(self, *args):
"""
getMarginal(KernelMixture self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(KernelMixture self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle2.KernelMixture_getMarginal(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(KernelMixture self) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(KernelMixture self) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(KernelMixture self) -> NumericalPoint"""
return _dist_bundle2.KernelMixture_getKurtosis(self)
def getParametersCollection(self):
"""getParametersCollection(KernelMixture self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.KernelMixture_getParametersCollection(self)
def isElliptical(self):
"""isElliptical(KernelMixture self) -> OT::Bool"""
return _dist_bundle2.KernelMixture_isElliptical(self)
def isContinuous(self):
"""isContinuous(KernelMixture self) -> OT::Bool"""
return _dist_bundle2.KernelMixture_isContinuous(self)
def hasEllipticalCopula(self):
"""hasEllipticalCopula(KernelMixture self) -> OT::Bool"""
return _dist_bundle2.KernelMixture_hasEllipticalCopula(self)
def hasIndependentCopula(self):
"""hasIndependentCopula(KernelMixture self) -> OT::Bool"""
return _dist_bundle2.KernelMixture_hasIndependentCopula(self)
def __init__(self, *args):
"""
__init__(OT::KernelMixture self) -> KernelMixture
__init__(OT::KernelMixture self, Distribution kernel, NumericalPoint bandwidth, NumericalSample sample) -> KernelMixture
__init__(OT::KernelMixture self, KernelMixture other) -> KernelMixture
__init__(OT::KernelMixture self, DistributionImplementation kernel, NumericalPoint bandwidth, NumericalSample sample) -> KernelMixture
"""
this = _dist_bundle2.new_KernelMixture(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_KernelMixture
__del__ = lambda self : None;
KernelMixture_swigregister = _dist_bundle2.KernelMixture_swigregister
KernelMixture_swigregister(KernelMixture)
def KernelMixture_GetClassName():
"""KernelMixture_GetClassName() -> OT::String"""
return _dist_bundle2.KernelMixture_GetClassName()
class KernelSmoothing(openturns.common.PersistentObject):
"""Proxy of C++ OT::KernelSmoothing class"""
__swig_setmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, KernelSmoothing, name, value)
__swig_getmethods__ = {}
for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, KernelSmoothing, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.KernelSmoothing_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(KernelSmoothing self) -> OT::String"""
return _dist_bundle2.KernelSmoothing_getClassName(self)
def build(self, *args):
"""
build(KernelSmoothing self, NumericalSample sample, OT::Bool const boundaryCorrection=False) -> Distribution
build(KernelSmoothing self, NumericalSample sample) -> Distribution
build(KernelSmoothing self, NumericalSample sample, NumericalPoint bandwidth, OT::Bool const boundaryCorrection=False) -> Distribution
build(KernelSmoothing self, NumericalSample sample, NumericalPoint bandwidth) -> Distribution
"""
return _dist_bundle2.KernelSmoothing_build(self, *args)
def getBandwidth(self):
"""getBandwidth(KernelSmoothing self) -> NumericalPoint"""
return _dist_bundle2.KernelSmoothing_getBandwidth(self)
def getKernel(self):
"""getKernel(KernelSmoothing self) -> Distribution"""
return _dist_bundle2.KernelSmoothing_getKernel(self)
def computeSilvermanBandwidth(self, *args):
"""computeSilvermanBandwidth(KernelSmoothing self, NumericalSample sample) -> NumericalPoint"""
return _dist_bundle2.KernelSmoothing_computeSilvermanBandwidth(self, *args)
def computePluginBandwidth(self, *args):
"""computePluginBandwidth(KernelSmoothing self, NumericalSample sample) -> NumericalPoint"""
return _dist_bundle2.KernelSmoothing_computePluginBandwidth(self, *args)
def computeMixedBandwidth(self, *args):
"""computeMixedBandwidth(KernelSmoothing self, NumericalSample sample) -> NumericalPoint"""
return _dist_bundle2.KernelSmoothing_computeMixedBandwidth(self, *args)
def __init__(self, *args):
"""
__init__(OT::KernelSmoothing self, OT::String const & name="KernelSmoothing") -> KernelSmoothing
__init__(OT::KernelSmoothing self) -> KernelSmoothing
__init__(OT::KernelSmoothing self, Distribution kernel, OT::Bool const & bined=True, OT::UnsignedLong const binNumber=OT::ResourceMap::GetAsUnsignedLong( "KernelSmoothing-BinNumber" ),
OT::String const & name="KernelSmoothing") -> KernelSmoothing
__init__(OT::KernelSmoothing self, Distribution kernel, OT::Bool const & bined=True, OT::UnsignedLong const binNumber=OT::ResourceMap::GetAsUnsignedLong( "KernelSmoothing-BinNumber" )) -> KernelSmoothing
__init__(OT::KernelSmoothing self, Distribution kernel, OT::Bool const & bined=True) -> KernelSmoothing
__init__(OT::KernelSmoothing self, Distribution kernel) -> KernelSmoothing
__init__(OT::KernelSmoothing self, KernelSmoothing other) -> KernelSmoothing
"""
this = _dist_bundle2.new_KernelSmoothing(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_KernelSmoothing
__del__ = lambda self : None;
KernelSmoothing_swigregister = _dist_bundle2.KernelSmoothing_swigregister
KernelSmoothing_swigregister(KernelSmoothing)
def KernelSmoothing_GetClassName():
"""KernelSmoothing_GetClassName() -> OT::String"""
return _dist_bundle2.KernelSmoothing_GetClassName()
class Laplace(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::Laplace class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Laplace, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Laplace, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.Laplace_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Laplace self) -> OT::String"""
return _dist_bundle2.Laplace_getClassName(self)
def __eq__(self, *args):
"""__eq__(Laplace self, Laplace other) -> OT::Bool"""
return _dist_bundle2.Laplace___eq__(self, *args)
def __repr__(self):
"""__repr__(Laplace self) -> OT::String"""
return _dist_bundle2.Laplace___repr__(self)
def __str__(self, offset=""):
"""
__str__(Laplace self, OT::String const & offset="") -> OT::String
__str__(Laplace self) -> OT::String
"""
return _dist_bundle2.Laplace___str__(self, offset)
def getRealization(self):
"""getRealization(Laplace self) -> NumericalPoint"""
return _dist_bundle2.Laplace_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Laplace self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Laplace self, NumericalPoint point) -> NumericalPoint
computeDDF(Laplace self, NumericalSample sample) -> NumericalSample
computeDDF(Laplace self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.Laplace_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Laplace self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Laplace self, NumericalSample sample) -> NumericalSample
computePDF(Laplace self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Laplace self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Laplace_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Laplace self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Laplace self, NumericalSample sample) -> NumericalSample
computeLogPDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Laplace_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Laplace self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Laplace self, NumericalSample sample) -> NumericalSample
computeCDF(Laplace self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Laplace self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Laplace_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Laplace self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Laplace self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Laplace self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Laplace self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Laplace_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Laplace self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.Laplace_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Laplace self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.Laplace_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Laplace self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Laplace_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Laplace self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Laplace_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(Laplace self) -> NumericalPoint"""
return _dist_bundle2.Laplace_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Laplace self) -> NumericalPoint"""
return _dist_bundle2.Laplace_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Laplace self) -> NumericalPoint"""
return _dist_bundle2.Laplace_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Laplace self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.Laplace_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Laplace self) -> DistributionImplementationPointer"""
return _dist_bundle2.Laplace_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Laplace self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.Laplace_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Laplace self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Laplace self, NumericalPointCollection parametersCollection)
setParametersCollection(Laplace self, NumericalPoint parameters)
setParametersCollection(Laplace self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.Laplace_setParametersCollection(self, *args)
def setMu(self, *args):
"""setMu(Laplace self, OT::NumericalScalar const mu)"""
return _dist_bundle2.Laplace_setMu(self, *args)
def getMu(self):
"""getMu(Laplace self) -> OT::NumericalScalar"""
return _dist_bundle2.Laplace_getMu(self)
def setLambda(self, *args):
"""setLambda(Laplace self, OT::NumericalScalar const _lambda)"""
return _dist_bundle2.Laplace_setLambda(self, *args)
def getLambda(self):
"""getLambda(Laplace self) -> OT::NumericalScalar"""
return _dist_bundle2.Laplace_getLambda(self)
def __init__(self, *args):
"""
__init__(OT::Laplace self) -> Laplace
__init__(OT::Laplace self, OT::NumericalScalar const _lambda, OT::NumericalScalar const mu=0.0) -> Laplace
__init__(OT::Laplace self, OT::NumericalScalar const _lambda) -> Laplace
__init__(OT::Laplace self, Laplace other) -> Laplace
"""
this = _dist_bundle2.new_Laplace(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_Laplace
__del__ = lambda self : None;
Laplace_swigregister = _dist_bundle2.Laplace_swigregister
Laplace_swigregister(Laplace)
def Laplace_GetClassName():
"""Laplace_GetClassName() -> OT::String"""
return _dist_bundle2.Laplace_GetClassName()
class LaplaceFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::LaplaceFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, LaplaceFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, LaplaceFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.LaplaceFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(LaplaceFactory self) -> OT::String"""
return _dist_bundle2.LaplaceFactory_getClassName(self)
def build(self, *args):
"""
build(LaplaceFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LaplaceFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(LaplaceFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LaplaceFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(LaplaceFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LaplaceFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LaplaceFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.LaplaceFactory_build(self, *args)
def buildAsLaplace(self, *args):
"""
buildAsLaplace(LaplaceFactory self, NumericalSample sample) -> Laplace
buildAsLaplace(LaplaceFactory self, NumericalPointCollection parameters) -> Laplace
buildAsLaplace(LaplaceFactory self, NumericalPointWithDescriptionCollection parameters) -> Laplace
buildAsLaplace(LaplaceFactory self) -> Laplace
"""
return _dist_bundle2.LaplaceFactory_buildAsLaplace(self, *args)
def __init__(self, *args):
"""
__init__(OT::LaplaceFactory self) -> LaplaceFactory
__init__(OT::LaplaceFactory self, LaplaceFactory other) -> LaplaceFactory
"""
this = _dist_bundle2.new_LaplaceFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_LaplaceFactory
__del__ = lambda self : None;
LaplaceFactory_swigregister = _dist_bundle2.LaplaceFactory_swigregister
LaplaceFactory_swigregister(LaplaceFactory)
def LaplaceFactory_GetClassName():
"""LaplaceFactory_GetClassName() -> OT::String"""
return _dist_bundle2.LaplaceFactory_GetClassName()
class Logistic(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::Logistic class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Logistic, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Logistic, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.Logistic_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Logistic self) -> OT::String"""
return _dist_bundle2.Logistic_getClassName(self)
def __eq__(self, *args):
"""__eq__(Logistic self, Logistic other) -> OT::Bool"""
return _dist_bundle2.Logistic___eq__(self, *args)
def __repr__(self):
"""__repr__(Logistic self) -> OT::String"""
return _dist_bundle2.Logistic___repr__(self)
def __str__(self, offset=""):
"""
__str__(Logistic self, OT::String const & offset="") -> OT::String
__str__(Logistic self) -> OT::String
"""
return _dist_bundle2.Logistic___str__(self, offset)
def getRealization(self):
"""getRealization(Logistic self) -> NumericalPoint"""
return _dist_bundle2.Logistic_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Logistic self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Logistic self, NumericalPoint point) -> NumericalPoint
computeDDF(Logistic self, NumericalSample sample) -> NumericalSample
computeDDF(Logistic self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.Logistic_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Logistic self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Logistic self, NumericalSample sample) -> NumericalSample
computePDF(Logistic self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Logistic self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Logistic_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(Logistic self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(Logistic self, NumericalSample sample) -> NumericalSample
computeLogPDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Logistic_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Logistic self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Logistic self, NumericalSample sample) -> NumericalSample
computeCDF(Logistic self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Logistic self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Logistic_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(Logistic self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(Logistic self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(Logistic self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(Logistic self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Logistic_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Logistic self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.Logistic_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(Logistic self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.Logistic_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Logistic self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Logistic_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Logistic self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Logistic_computeCDFGradient(self, *args)
def getRoughness(self):
"""getRoughness(Logistic self) -> OT::NumericalScalar"""
return _dist_bundle2.Logistic_getRoughness(self)
def getStandardDeviation(self):
"""getStandardDeviation(Logistic self) -> NumericalPoint"""
return _dist_bundle2.Logistic_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(Logistic self) -> NumericalPoint"""
return _dist_bundle2.Logistic_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Logistic self) -> NumericalPoint"""
return _dist_bundle2.Logistic_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Logistic self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.Logistic_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Logistic self) -> DistributionImplementationPointer"""
return _dist_bundle2.Logistic_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(Logistic self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.Logistic_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(Logistic self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(Logistic self, NumericalPointCollection parametersCollection)
setParametersCollection(Logistic self, NumericalPoint parameters)
setParametersCollection(Logistic self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.Logistic_setParametersCollection(self, *args)
def setAlpha(self, *args):
"""setAlpha(Logistic self, OT::NumericalScalar const alpha)"""
return _dist_bundle2.Logistic_setAlpha(self, *args)
def getAlpha(self):
"""getAlpha(Logistic self) -> OT::NumericalScalar"""
return _dist_bundle2.Logistic_getAlpha(self)
def setBeta(self, *args):
"""setBeta(Logistic self, OT::NumericalScalar const beta)"""
return _dist_bundle2.Logistic_setBeta(self, *args)
def getBeta(self):
"""getBeta(Logistic self) -> OT::NumericalScalar"""
return _dist_bundle2.Logistic_getBeta(self)
def __init__(self, *args):
"""
__init__(OT::Logistic self) -> Logistic
__init__(OT::Logistic self, OT::NumericalScalar const alpha, OT::NumericalScalar const beta) -> Logistic
__init__(OT::Logistic self, Logistic other) -> Logistic
"""
this = _dist_bundle2.new_Logistic(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_Logistic
__del__ = lambda self : None;
Logistic_swigregister = _dist_bundle2.Logistic_swigregister
Logistic_swigregister(Logistic)
def Logistic_GetClassName():
"""Logistic_GetClassName() -> OT::String"""
return _dist_bundle2.Logistic_GetClassName()
class LogisticFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::LogisticFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, LogisticFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, LogisticFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.LogisticFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(LogisticFactory self) -> OT::String"""
return _dist_bundle2.LogisticFactory_getClassName(self)
def build(self, *args):
"""
build(LogisticFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LogisticFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(LogisticFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LogisticFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(LogisticFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LogisticFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LogisticFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.LogisticFactory_build(self, *args)
def buildAsLogistic(self, *args):
"""
buildAsLogistic(LogisticFactory self, NumericalSample sample) -> Logistic
buildAsLogistic(LogisticFactory self, NumericalPointCollection parameters) -> Logistic
buildAsLogistic(LogisticFactory self, NumericalPointWithDescriptionCollection parameters) -> Logistic
buildAsLogistic(LogisticFactory self) -> Logistic
"""
return _dist_bundle2.LogisticFactory_buildAsLogistic(self, *args)
def __init__(self, *args):
"""
__init__(OT::LogisticFactory self) -> LogisticFactory
__init__(OT::LogisticFactory self, LogisticFactory other) -> LogisticFactory
"""
this = _dist_bundle2.new_LogisticFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_LogisticFactory
__del__ = lambda self : None;
LogisticFactory_swigregister = _dist_bundle2.LogisticFactory_swigregister
LogisticFactory_swigregister(LogisticFactory)
def LogisticFactory_GetClassName():
"""LogisticFactory_GetClassName() -> OT::String"""
return _dist_bundle2.LogisticFactory_GetClassName()
class LogNormal(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::LogNormal class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, LogNormal, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, LogNormal, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.LogNormal_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(LogNormal self) -> OT::String"""
return _dist_bundle2.LogNormal_getClassName(self)
MUSIGMA_LOG = _dist_bundle2.LogNormal_MUSIGMA_LOG
MUSIGMA = _dist_bundle2.LogNormal_MUSIGMA
MU_SIGMAOVERMU = _dist_bundle2.LogNormal_MU_SIGMAOVERMU
def __eq__(self, *args):
"""__eq__(LogNormal self, LogNormal other) -> OT::Bool"""
return _dist_bundle2.LogNormal___eq__(self, *args)
def __repr__(self):
"""__repr__(LogNormal self) -> OT::String"""
return _dist_bundle2.LogNormal___repr__(self)
def __str__(self, offset=""):
"""
__str__(LogNormal self, OT::String const & offset="") -> OT::String
__str__(LogNormal self) -> OT::String
"""
return _dist_bundle2.LogNormal___str__(self, offset)
def getRealization(self):
"""getRealization(LogNormal self) -> NumericalPoint"""
return _dist_bundle2.LogNormal_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(LogNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(LogNormal self, NumericalPoint point) -> NumericalPoint
computeDDF(LogNormal self, NumericalSample sample) -> NumericalSample
computeDDF(LogNormal self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.LogNormal_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(LogNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
computePDF(LogNormal self, NumericalSample sample) -> NumericalSample
computePDF(LogNormal self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(LogNormal self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogNormal_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(LogNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(LogNormal self, NumericalSample sample) -> NumericalSample
computeLogPDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogNormal_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(LogNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(LogNormal self, NumericalSample sample) -> NumericalSample
computeCDF(LogNormal self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(LogNormal self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogNormal_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(LogNormal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(LogNormal self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(LogNormal self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(LogNormal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogNormal_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(LogNormal self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.LogNormal_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(LogNormal self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.LogNormal_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(LogNormal self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.LogNormal_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(LogNormal self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.LogNormal_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(LogNormal self) -> NumericalPoint"""
return _dist_bundle2.LogNormal_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(LogNormal self) -> NumericalPoint"""
return _dist_bundle2.LogNormal_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(LogNormal self) -> NumericalPoint"""
return _dist_bundle2.LogNormal_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(LogNormal self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.LogNormal_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(LogNormal self) -> DistributionImplementationPointer"""
return _dist_bundle2.LogNormal_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(LogNormal self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.LogNormal_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(LogNormal self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(LogNormal self, NumericalPointCollection parametersCollection)
setParametersCollection(LogNormal self, NumericalPoint parameters)
setParametersCollection(LogNormal self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.LogNormal_setParametersCollection(self, *args)
def setMuLog(self, *args):
"""setMuLog(LogNormal self, OT::NumericalScalar const muLog)"""
return _dist_bundle2.LogNormal_setMuLog(self, *args)
def getMuLog(self):
"""getMuLog(LogNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.LogNormal_getMuLog(self)
def setSigmaLog(self, *args):
"""setSigmaLog(LogNormal self, OT::NumericalScalar const sigmaLog)"""
return _dist_bundle2.LogNormal_setSigmaLog(self, *args)
def getSigmaLog(self):
"""getSigmaLog(LogNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.LogNormal_getSigmaLog(self)
def setMuSigma(self, *args):
"""setMuSigma(LogNormal self, OT::NumericalScalar const mu, OT::NumericalScalar const sigma)"""
return _dist_bundle2.LogNormal_setMuSigma(self, *args)
def getMu(self):
"""getMu(LogNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.LogNormal_getMu(self)
def getSigma(self):
"""getSigma(LogNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.LogNormal_getSigma(self)
def setGamma(self, *args):
"""setGamma(LogNormal self, OT::NumericalScalar const gamma)"""
return _dist_bundle2.LogNormal_setGamma(self, *args)
def getGamma(self):
"""getGamma(LogNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.LogNormal_getGamma(self)
def getSigmaOverMu(self):
"""getSigmaOverMu(LogNormal self) -> OT::NumericalScalar"""
return _dist_bundle2.LogNormal_getSigmaOverMu(self)
def __init__(self, *args):
"""
__init__(OT::LogNormal self) -> LogNormal
__init__(OT::LogNormal self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::NumericalScalar const gamma=0.0,
OT::LogNormal::ParameterSet const set=MUSIGMA_LOG) -> LogNormal
__init__(OT::LogNormal self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2, OT::NumericalScalar const gamma=0.0) -> LogNormal
__init__(OT::LogNormal self, OT::NumericalScalar const arg1, OT::NumericalScalar const arg2) -> LogNormal
__init__(OT::LogNormal self, LogNormal other) -> LogNormal
"""
this = _dist_bundle2.new_LogNormal(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_LogNormal
__del__ = lambda self : None;
LogNormal_swigregister = _dist_bundle2.LogNormal_swigregister
LogNormal_swigregister(LogNormal)
def LogNormal_GetClassName():
"""LogNormal_GetClassName() -> OT::String"""
return _dist_bundle2.LogNormal_GetClassName()
class LogNormalFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::LogNormalFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, LogNormalFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, LogNormalFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.LogNormalFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(LogNormalFactory self) -> OT::String"""
return _dist_bundle2.LogNormalFactory_getClassName(self)
def build(self, *args):
"""
build(LogNormalFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LogNormalFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(LogNormalFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LogNormalFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(LogNormalFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LogNormalFactory self, NumericalSample sample, OT::UnsignedLong const method) -> DistributionImplementationPointer
build(LogNormalFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LogNormalFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.LogNormalFactory_build(self, *args)
def buildAsLogNormal(self, *args):
"""
buildAsLogNormal(LogNormalFactory self, NumericalSample sample) -> LogNormal
buildAsLogNormal(LogNormalFactory self, NumericalSample sample, OT::UnsignedLong const method) -> LogNormal
buildAsLogNormal(LogNormalFactory self, NumericalPointCollection parameters) -> LogNormal
buildAsLogNormal(LogNormalFactory self, NumericalPointWithDescriptionCollection parameters) -> LogNormal
buildAsLogNormal(LogNormalFactory self) -> LogNormal
"""
return _dist_bundle2.LogNormalFactory_buildAsLogNormal(self, *args)
def buildMethodOfMoments(self, *args):
"""buildMethodOfMoments(LogNormalFactory self, NumericalSample sample) -> LogNormal"""
return _dist_bundle2.LogNormalFactory_buildMethodOfMoments(self, *args)
def buildMethodOfLocalLikelihoodMaximization(self, *args):
"""buildMethodOfLocalLikelihoodMaximization(LogNormalFactory self, NumericalSample sample) -> LogNormal"""
return _dist_bundle2.LogNormalFactory_buildMethodOfLocalLikelihoodMaximization(self, *args)
def buildMethodOfModifiedMoments(self, *args):
"""buildMethodOfModifiedMoments(LogNormalFactory self, NumericalSample sample) -> LogNormal"""
return _dist_bundle2.LogNormalFactory_buildMethodOfModifiedMoments(self, *args)
def __init__(self, *args):
"""
__init__(OT::LogNormalFactory self) -> LogNormalFactory
__init__(OT::LogNormalFactory self, LogNormalFactory other) -> LogNormalFactory
"""
this = _dist_bundle2.new_LogNormalFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_LogNormalFactory
__del__ = lambda self : None;
LogNormalFactory_swigregister = _dist_bundle2.LogNormalFactory_swigregister
LogNormalFactory_swigregister(LogNormalFactory)
def LogNormalFactory_GetClassName():
"""LogNormalFactory_GetClassName() -> OT::String"""
return _dist_bundle2.LogNormalFactory_GetClassName()
class LogUniform(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::LogUniform class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, LogUniform, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, LogUniform, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.LogUniform_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(LogUniform self) -> OT::String"""
return _dist_bundle2.LogUniform_getClassName(self)
def __eq__(self, *args):
"""__eq__(LogUniform self, LogUniform other) -> OT::Bool"""
return _dist_bundle2.LogUniform___eq__(self, *args)
def __repr__(self):
"""__repr__(LogUniform self) -> OT::String"""
return _dist_bundle2.LogUniform___repr__(self)
def __str__(self, offset=""):
"""
__str__(LogUniform self, OT::String const & offset="") -> OT::String
__str__(LogUniform self) -> OT::String
"""
return _dist_bundle2.LogUniform___str__(self, offset)
def getRealization(self):
"""getRealization(LogUniform self) -> NumericalPoint"""
return _dist_bundle2.LogUniform_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(LogUniform self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(LogUniform self, NumericalPoint point) -> NumericalPoint
computeDDF(LogUniform self, NumericalSample sample) -> NumericalSample
computeDDF(LogUniform self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.LogUniform_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(LogUniform self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(LogUniform self, NumericalPoint point) -> OT::NumericalScalar
computePDF(LogUniform self, NumericalSample sample) -> NumericalSample
computePDF(LogUniform self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(LogUniform self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(LogUniform self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogUniform_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(LogUniform self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(LogUniform self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(LogUniform self, NumericalSample sample) -> NumericalSample
computeCDF(LogUniform self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(LogUniform self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(LogUniform self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogUniform_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(LogUniform self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(LogUniform self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(LogUniform self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(LogUniform self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(LogUniform self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.LogUniform_computeComplementaryCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(LogUniform self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.LogUniform_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(LogUniform self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.LogUniform_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(LogUniform self) -> NumericalPoint"""
return _dist_bundle2.LogUniform_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(LogUniform self) -> NumericalPoint"""
return _dist_bundle2.LogUniform_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(LogUniform self) -> NumericalPoint"""
return _dist_bundle2.LogUniform_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(LogUniform self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.LogUniform_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(LogUniform self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.LogUniform_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(LogUniform self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(LogUniform self, NumericalPointCollection parametersCollection)
setParametersCollection(LogUniform self, NumericalPoint parameters)
setParametersCollection(LogUniform self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.LogUniform_setParametersCollection(self, *args)
def setALog(self, *args):
"""setALog(LogUniform self, OT::NumericalScalar const aLog)"""
return _dist_bundle2.LogUniform_setALog(self, *args)
def getALog(self):
"""getALog(LogUniform self) -> OT::NumericalScalar"""
return _dist_bundle2.LogUniform_getALog(self)
def setBLog(self, *args):
"""setBLog(LogUniform self, OT::NumericalScalar const bLog)"""
return _dist_bundle2.LogUniform_setBLog(self, *args)
def getBLog(self):
"""getBLog(LogUniform self) -> OT::NumericalScalar"""
return _dist_bundle2.LogUniform_getBLog(self)
def __init__(self, *args):
"""
__init__(OT::LogUniform self) -> LogUniform
__init__(OT::LogUniform self, OT::NumericalScalar const aLog, OT::NumericalScalar const bLog) -> LogUniform
__init__(OT::LogUniform self, LogUniform other) -> LogUniform
"""
this = _dist_bundle2.new_LogUniform(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_LogUniform
__del__ = lambda self : None;
LogUniform_swigregister = _dist_bundle2.LogUniform_swigregister
LogUniform_swigregister(LogUniform)
def LogUniform_GetClassName():
"""LogUniform_GetClassName() -> OT::String"""
return _dist_bundle2.LogUniform_GetClassName()
class LogUniformFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::LogUniformFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, LogUniformFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, LogUniformFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.LogUniformFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(LogUniformFactory self) -> OT::String"""
return _dist_bundle2.LogUniformFactory_getClassName(self)
def build(self, *args):
"""
build(LogUniformFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LogUniformFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(LogUniformFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LogUniformFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(LogUniformFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(LogUniformFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(LogUniformFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.LogUniformFactory_build(self, *args)
def buildAsLogUniform(self, *args):
"""
buildAsLogUniform(LogUniformFactory self, NumericalSample sample) -> LogUniform
buildAsLogUniform(LogUniformFactory self, NumericalPointCollection parameters) -> LogUniform
buildAsLogUniform(LogUniformFactory self, NumericalPointWithDescriptionCollection parameters) -> LogUniform
buildAsLogUniform(LogUniformFactory self) -> LogUniform
"""
return _dist_bundle2.LogUniformFactory_buildAsLogUniform(self, *args)
def __init__(self, *args):
"""
__init__(OT::LogUniformFactory self) -> LogUniformFactory
__init__(OT::LogUniformFactory self, LogUniformFactory other) -> LogUniformFactory
"""
this = _dist_bundle2.new_LogUniformFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_LogUniformFactory
__del__ = lambda self : None;
LogUniformFactory_swigregister = _dist_bundle2.LogUniformFactory_swigregister
LogUniformFactory_swigregister(LogUniformFactory)
def LogUniformFactory_GetClassName():
"""LogUniformFactory_GetClassName() -> OT::String"""
return _dist_bundle2.LogUniformFactory_GetClassName()
class MeixnerDistribution(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::MeixnerDistribution class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, MeixnerDistribution, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, MeixnerDistribution, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.MeixnerDistribution_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(MeixnerDistribution self) -> OT::String"""
return _dist_bundle2.MeixnerDistribution_getClassName(self)
KLAMBDA = _dist_bundle2.MeixnerDistribution_KLAMBDA
MUSIGMA = _dist_bundle2.MeixnerDistribution_MUSIGMA
def __eq__(self, *args):
"""__eq__(MeixnerDistribution self, MeixnerDistribution other) -> OT::Bool"""
return _dist_bundle2.MeixnerDistribution___eq__(self, *args)
def __repr__(self):
"""__repr__(MeixnerDistribution self) -> OT::String"""
return _dist_bundle2.MeixnerDistribution___repr__(self)
def __str__(self, offset=""):
"""
__str__(MeixnerDistribution self, OT::String const & offset="") -> OT::String
__str__(MeixnerDistribution self) -> OT::String
"""
return _dist_bundle2.MeixnerDistribution___str__(self, offset)
def getRealization(self):
"""getRealization(MeixnerDistribution self) -> NumericalPoint"""
return _dist_bundle2.MeixnerDistribution_getRealization(self)
def computePDF(self, *args):
"""
computePDF(MeixnerDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
computePDF(MeixnerDistribution self, NumericalSample sample) -> NumericalSample
computePDF(MeixnerDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(MeixnerDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.MeixnerDistribution_computePDF(self, *args)
def computeLogPDF(self, *args):
"""
computeLogPDF(MeixnerDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeLogPDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
computeLogPDF(MeixnerDistribution self, NumericalSample sample) -> NumericalSample
computeLogPDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.MeixnerDistribution_computeLogPDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(MeixnerDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(MeixnerDistribution self, NumericalSample sample) -> NumericalSample
computeCDF(MeixnerDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(MeixnerDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.MeixnerDistribution_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(MeixnerDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(MeixnerDistribution self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(MeixnerDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(MeixnerDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.MeixnerDistribution_computeComplementaryCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(MeixnerDistribution self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.MeixnerDistribution_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(MeixnerDistribution self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.MeixnerDistribution_computeLogCharacteristicFunction(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(MeixnerDistribution self) -> NumericalPoint"""
return _dist_bundle2.MeixnerDistribution_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(MeixnerDistribution self) -> NumericalPoint"""
return _dist_bundle2.MeixnerDistribution_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(MeixnerDistribution self) -> NumericalPoint"""
return _dist_bundle2.MeixnerDistribution_getKurtosis(self)
def getStandardRepresentative(self):
"""getStandardRepresentative(MeixnerDistribution self) -> DistributionImplementationPointer"""
return _dist_bundle2.MeixnerDistribution_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(MeixnerDistribution self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.MeixnerDistribution_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(MeixnerDistribution self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(MeixnerDistribution self, NumericalPointCollection parametersCollection)
setParametersCollection(MeixnerDistribution self, NumericalPoint parameters)
setParametersCollection(MeixnerDistribution self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.MeixnerDistribution_setParametersCollection(self, *args)
def setAlpha(self, *args):
"""setAlpha(MeixnerDistribution self, OT::NumericalScalar const alpha)"""
return _dist_bundle2.MeixnerDistribution_setAlpha(self, *args)
def getAlpha(self):
"""getAlpha(MeixnerDistribution self) -> OT::NumericalScalar"""
return _dist_bundle2.MeixnerDistribution_getAlpha(self)
def setBeta(self, *args):
"""setBeta(MeixnerDistribution self, OT::NumericalScalar const beta)"""
return _dist_bundle2.MeixnerDistribution_setBeta(self, *args)
def getBeta(self):
"""getBeta(MeixnerDistribution self) -> OT::NumericalScalar"""
return _dist_bundle2.MeixnerDistribution_getBeta(self)
def setDelta(self, *args):
"""setDelta(MeixnerDistribution self, OT::NumericalScalar const delta)"""
return _dist_bundle2.MeixnerDistribution_setDelta(self, *args)
def getDelta(self):
"""getDelta(MeixnerDistribution self) -> OT::NumericalScalar"""
return _dist_bundle2.MeixnerDistribution_getDelta(self)
def setMu(self, *args):
"""setMu(MeixnerDistribution self, OT::NumericalScalar const mu)"""
return _dist_bundle2.MeixnerDistribution_setMu(self, *args)
def getMu(self):
"""getMu(MeixnerDistribution self) -> OT::NumericalScalar"""
return _dist_bundle2.MeixnerDistribution_getMu(self)
def __init__(self, *args):
"""
__init__(OT::MeixnerDistribution self) -> MeixnerDistribution
__init__(OT::MeixnerDistribution self, OT::NumericalScalar const alpha, OT::NumericalScalar const beta, OT::NumericalScalar const delta,
OT::NumericalScalar const mu) -> MeixnerDistribution
__init__(OT::MeixnerDistribution self, MeixnerDistribution other) -> MeixnerDistribution
"""
this = _dist_bundle2.new_MeixnerDistribution(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_MeixnerDistribution
__del__ = lambda self : None;
MeixnerDistribution_swigregister = _dist_bundle2.MeixnerDistribution_swigregister
MeixnerDistribution_swigregister(MeixnerDistribution)
def MeixnerDistribution_GetClassName():
"""MeixnerDistribution_GetClassName() -> OT::String"""
return _dist_bundle2.MeixnerDistribution_GetClassName()
class MeixnerDistributionFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::MeixnerDistributionFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, MeixnerDistributionFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, MeixnerDistributionFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.MeixnerDistributionFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(MeixnerDistributionFactory self) -> OT::String"""
return _dist_bundle2.MeixnerDistributionFactory_getClassName(self)
def build(self, *args):
"""
build(MeixnerDistributionFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(MeixnerDistributionFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(MeixnerDistributionFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(MeixnerDistributionFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(MeixnerDistributionFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(MeixnerDistributionFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(MeixnerDistributionFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.MeixnerDistributionFactory_build(self, *args)
def buildAsMeixnerDistribution(self, *args):
"""
buildAsMeixnerDistribution(MeixnerDistributionFactory self, NumericalSample sample) -> MeixnerDistribution
buildAsMeixnerDistribution(MeixnerDistributionFactory self, NumericalPointCollection parameters) -> MeixnerDistribution
buildAsMeixnerDistribution(MeixnerDistributionFactory self, NumericalPointWithDescriptionCollection parameters) -> MeixnerDistribution
buildAsMeixnerDistribution(MeixnerDistributionFactory self) -> MeixnerDistribution
"""
return _dist_bundle2.MeixnerDistributionFactory_buildAsMeixnerDistribution(self, *args)
def __init__(self, *args):
"""
__init__(OT::MeixnerDistributionFactory self) -> MeixnerDistributionFactory
__init__(OT::MeixnerDistributionFactory self, MeixnerDistributionFactory other) -> MeixnerDistributionFactory
"""
this = _dist_bundle2.new_MeixnerDistributionFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_MeixnerDistributionFactory
__del__ = lambda self : None;
MeixnerDistributionFactory_swigregister = _dist_bundle2.MeixnerDistributionFactory_swigregister
MeixnerDistributionFactory_swigregister(MeixnerDistributionFactory)
def MeixnerDistributionFactory_GetClassName():
"""MeixnerDistributionFactory_GetClassName() -> OT::String"""
return _dist_bundle2.MeixnerDistributionFactory_GetClassName()
class Mixture(openturns.model_copula.DistributionImplementation):
"""Proxy of C++ OT::Mixture class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Mixture, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Mixture, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.Mixture_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Mixture self) -> OT::String"""
return _dist_bundle2.Mixture_getClassName(self)
def __eq__(self, *args):
"""__eq__(Mixture self, Mixture other) -> OT::Bool"""
return _dist_bundle2.Mixture___eq__(self, *args)
def __repr__(self):
"""__repr__(Mixture self) -> OT::String"""
return _dist_bundle2.Mixture___repr__(self)
def __str__(self, offset=""):
"""
__str__(Mixture self, OT::String const & offset="") -> OT::String
__str__(Mixture self) -> OT::String
"""
return _dist_bundle2.Mixture___str__(self, offset)
def setDistributionCollection(self, *args):
"""setDistributionCollection(Mixture self, DistributionCollection coll)"""
return _dist_bundle2.Mixture_setDistributionCollection(self, *args)
def getDistributionCollection(self):
"""getDistributionCollection(Mixture self) -> DistributionCollection"""
return _dist_bundle2.Mixture_getDistributionCollection(self)
def getWeights(self):
"""getWeights(Mixture self) -> NumericalPoint"""
return _dist_bundle2.Mixture_getWeights(self)
def setWeights(self, *args):
"""setWeights(Mixture self, NumericalPoint weights)"""
return _dist_bundle2.Mixture_setWeights(self, *args)
def getRealization(self):
"""getRealization(Mixture self) -> NumericalPoint"""
return _dist_bundle2.Mixture_getRealization(self)
def computeDDF(self, *args):
"""
computeDDF(Mixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeDDF(Mixture self, NumericalPoint point) -> NumericalPoint
computeDDF(Mixture self, NumericalSample sample) -> NumericalSample
computeDDF(Mixture self, NumericalPoint point) -> NumericalPoint
"""
return _dist_bundle2.Mixture_computeDDF(self, *args)
def computePDF(self, *args):
"""
computePDF(Mixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Mixture self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Mixture self, NumericalSample sample) -> NumericalSample
computePDF(Mixture self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Mixture self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Mixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Mixture_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Mixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Mixture self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Mixture self, NumericalSample sample) -> NumericalSample
computeCDF(Mixture self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Mixture self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Mixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Mixture_computeCDF(self, *args)
def computeSurvivalFunction(self, *args):
"""
computeSurvivalFunction(Mixture self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeSurvivalFunction(Mixture self, NumericalPoint point) -> OT::NumericalScalar
computeSurvivalFunction(Mixture self, NumericalSample sample) -> NumericalSample
computeSurvivalFunction(Mixture self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Mixture_computeSurvivalFunction(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(Mixture self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.Mixture_computeCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(Mixture self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Mixture_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Mixture self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Mixture_computeCDFGradient(self, *args)
def getMarginal(self, *args):
"""
getMarginal(Mixture self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(Mixture self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle2.Mixture_getMarginal(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Mixture self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.Mixture_getParametersCollection(self)
def isCopula(self):
"""isCopula(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_isCopula(self)
def isElliptical(self):
"""isElliptical(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_isElliptical(self)
def isContinuous(self):
"""isContinuous(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_isContinuous(self)
def isDiscrete(self):
"""isDiscrete(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_isDiscrete(self)
def isIntegral(self):
"""isIntegral(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_isIntegral(self)
def hasEllipticalCopula(self):
"""hasEllipticalCopula(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_hasEllipticalCopula(self)
def hasIndependentCopula(self):
"""hasIndependentCopula(Mixture self) -> OT::Bool"""
return _dist_bundle2.Mixture_hasIndependentCopula(self)
def __init__(self, *args):
"""
__init__(OT::Mixture self) -> Mixture
__init__(OT::Mixture self, DistributionCollection coll) -> Mixture
__init__(OT::Mixture self, DistributionCollection coll, NumericalPoint weights) -> Mixture
__init__(OT::Mixture self, Mixture other) -> Mixture
"""
this = _dist_bundle2.new_Mixture(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_Mixture
__del__ = lambda self : None;
Mixture_swigregister = _dist_bundle2.Mixture_swigregister
Mixture_swigregister(Mixture)
def Mixture_GetClassName():
"""Mixture_GetClassName() -> OT::String"""
return _dist_bundle2.Mixture_GetClassName()
class Multinomial(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::Multinomial class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Multinomial, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Multinomial, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.Multinomial_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Multinomial self) -> OT::String"""
return _dist_bundle2.Multinomial_getClassName(self)
def __eq__(self, *args):
"""__eq__(Multinomial self, Multinomial other) -> OT::Bool"""
return _dist_bundle2.Multinomial___eq__(self, *args)
def __repr__(self):
"""__repr__(Multinomial self) -> OT::String"""
return _dist_bundle2.Multinomial___repr__(self)
def __str__(self, offset=""):
"""
__str__(Multinomial self, OT::String const & offset="") -> OT::String
__str__(Multinomial self) -> OT::String
"""
return _dist_bundle2.Multinomial___str__(self, offset)
def getRealization(self):
"""getRealization(Multinomial self) -> NumericalPoint"""
return _dist_bundle2.Multinomial_getRealization(self)
def computePDF(self, *args):
"""
computePDF(Multinomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(Multinomial self, NumericalPoint point) -> OT::NumericalScalar
computePDF(Multinomial self, NumericalSample sample) -> NumericalSample
computePDF(Multinomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(Multinomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(Multinomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Multinomial_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Multinomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Multinomial self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Multinomial self, NumericalSample sample) -> NumericalSample
computeCDF(Multinomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Multinomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Multinomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Multinomial_computeCDF(self, *args)
def computeConditionalPDF(self, *args):
"""computeConditionalPDF(Multinomial self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle2.Multinomial_computeConditionalPDF(self, *args)
def computeConditionalCDF(self, *args):
"""computeConditionalCDF(Multinomial self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle2.Multinomial_computeConditionalCDF(self, *args)
def computeConditionalQuantile(self, *args):
"""computeConditionalQuantile(Multinomial self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle2.Multinomial_computeConditionalQuantile(self, *args)
def getMarginal(self, *args):
"""
getMarginal(Multinomial self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(Multinomial self, Indices indices) -> DistributionImplementationPointer
getMarginal(Multinomial self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(Multinomial self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle2.Multinomial_getMarginal(self, *args)
def getSupport(self, *args):
"""
getSupport(Multinomial self, Interval interval) -> NumericalSample
getSupport(Multinomial self, Interval interval) -> NumericalSample
getSupport(Multinomial self) -> NumericalSample
"""
return _dist_bundle2.Multinomial_getSupport(self, *args)
def getParametersCollection(self):
"""getParametersCollection(Multinomial self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.Multinomial_getParametersCollection(self)
def setP(self, *args):
"""setP(Multinomial self, NumericalPoint p)"""
return _dist_bundle2.Multinomial_setP(self, *args)
def getP(self):
"""getP(Multinomial self) -> NumericalPoint"""
return _dist_bundle2.Multinomial_getP(self)
def setN(self, *args):
"""setN(Multinomial self, OT::UnsignedLong const n)"""
return _dist_bundle2.Multinomial_setN(self, *args)
def getN(self):
"""getN(Multinomial self) -> OT::UnsignedLong"""
return _dist_bundle2.Multinomial_getN(self)
def setSmallA(self, *args):
"""setSmallA(Multinomial self, OT::NumericalScalar const smallA)"""
return _dist_bundle2.Multinomial_setSmallA(self, *args)
def getSmallA(self):
"""getSmallA(Multinomial self) -> OT::NumericalScalar"""
return _dist_bundle2.Multinomial_getSmallA(self)
def setEta(self, *args):
"""setEta(Multinomial self, OT::NumericalScalar const eta)"""
return _dist_bundle2.Multinomial_setEta(self, *args)
def getEta(self):
"""getEta(Multinomial self) -> OT::NumericalScalar"""
return _dist_bundle2.Multinomial_getEta(self)
def __init__(self, *args):
"""
__init__(OT::Multinomial self) -> Multinomial
__init__(OT::Multinomial self, OT::UnsignedLong const n, NumericalPoint p) -> Multinomial
__init__(OT::Multinomial self, Multinomial other) -> Multinomial
"""
this = _dist_bundle2.new_Multinomial(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_Multinomial
__del__ = lambda self : None;
Multinomial_swigregister = _dist_bundle2.Multinomial_swigregister
Multinomial_swigregister(Multinomial)
def Multinomial_GetClassName():
"""Multinomial_GetClassName() -> OT::String"""
return _dist_bundle2.Multinomial_GetClassName()
class MultinomialFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::MultinomialFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, MultinomialFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, MultinomialFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.MultinomialFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(MultinomialFactory self) -> OT::String"""
return _dist_bundle2.MultinomialFactory_getClassName(self)
def build(self, *args):
"""
build(MultinomialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(MultinomialFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(MultinomialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(MultinomialFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(MultinomialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(MultinomialFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.MultinomialFactory_build(self, *args)
def buildAsMultinomial(self, *args):
"""
buildAsMultinomial(MultinomialFactory self, NumericalSample sample) -> Multinomial
buildAsMultinomial(MultinomialFactory self) -> Multinomial
"""
return _dist_bundle2.MultinomialFactory_buildAsMultinomial(self, *args)
def __init__(self, *args):
"""
__init__(OT::MultinomialFactory self) -> MultinomialFactory
__init__(OT::MultinomialFactory self, MultinomialFactory other) -> MultinomialFactory
"""
this = _dist_bundle2.new_MultinomialFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_MultinomialFactory
__del__ = lambda self : None;
MultinomialFactory_swigregister = _dist_bundle2.MultinomialFactory_swigregister
MultinomialFactory_swigregister(MultinomialFactory)
def MultinomialFactory_GetClassName():
"""MultinomialFactory_GetClassName() -> OT::String"""
return _dist_bundle2.MultinomialFactory_GetClassName()
class NegativeBinomial(openturns.model_copula.DiscreteDistribution):
"""Proxy of C++ OT::NegativeBinomial class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, NegativeBinomial, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DiscreteDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, NegativeBinomial, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.NegativeBinomial_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(NegativeBinomial self) -> OT::String"""
return _dist_bundle2.NegativeBinomial_getClassName(self)
def __eq__(self, *args):
"""__eq__(NegativeBinomial self, NegativeBinomial other) -> OT::Bool"""
return _dist_bundle2.NegativeBinomial___eq__(self, *args)
def __repr__(self):
"""__repr__(NegativeBinomial self) -> OT::String"""
return _dist_bundle2.NegativeBinomial___repr__(self)
def __str__(self, offset=""):
"""
__str__(NegativeBinomial self, OT::String const & offset="") -> OT::String
__str__(NegativeBinomial self) -> OT::String
"""
return _dist_bundle2.NegativeBinomial___str__(self, offset)
def getRealization(self):
"""getRealization(NegativeBinomial self) -> NumericalPoint"""
return _dist_bundle2.NegativeBinomial_getRealization(self)
def computePDF(self, *args):
"""
computePDF(NegativeBinomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(NegativeBinomial self, NumericalPoint point) -> OT::NumericalScalar
computePDF(NegativeBinomial self, NumericalSample sample) -> NumericalSample
computePDF(NegativeBinomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(NegativeBinomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(NegativeBinomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NegativeBinomial_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(NegativeBinomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(NegativeBinomial self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(NegativeBinomial self, NumericalSample sample) -> NumericalSample
computeCDF(NegativeBinomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(NegativeBinomial self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(NegativeBinomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NegativeBinomial_computeCDF(self, *args)
def computeComplementaryCDF(self, *args):
"""
computeComplementaryCDF(NegativeBinomial self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeComplementaryCDF(NegativeBinomial self, NumericalPoint point) -> OT::NumericalScalar
computeComplementaryCDF(NegativeBinomial self, NumericalSample sample) -> NumericalSample
computeComplementaryCDF(NegativeBinomial self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeComplementaryCDF(NegativeBinomial self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NegativeBinomial_computeComplementaryCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(NegativeBinomial self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.NegativeBinomial_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(NegativeBinomial self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.NegativeBinomial_computeCDFGradient(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(NegativeBinomial self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.NegativeBinomial_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(NegativeBinomial self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.NegativeBinomial_computeLogCharacteristicFunction(self, *args)
def computeGeneratingFunction(self, *args):
"""computeGeneratingFunction(NegativeBinomial self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle2.NegativeBinomial_computeGeneratingFunction(self, *args)
def computeLogGeneratingFunction(self, *args):
"""computeLogGeneratingFunction(NegativeBinomial self, OT::NumericalComplex const & z) -> OT::NumericalComplex"""
return _dist_bundle2.NegativeBinomial_computeLogGeneratingFunction(self, *args)
def getSupport(self, *args):
"""
getSupport(NegativeBinomial self, Interval interval) -> NumericalSample
getSupport(NegativeBinomial self) -> NumericalSample
getSupport(NegativeBinomial self, Interval interval) -> NumericalSample
"""
return _dist_bundle2.NegativeBinomial_getSupport(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(NegativeBinomial self) -> NumericalPoint"""
return _dist_bundle2.NegativeBinomial_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(NegativeBinomial self) -> NumericalPoint"""
return _dist_bundle2.NegativeBinomial_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(NegativeBinomial self) -> NumericalPoint"""
return _dist_bundle2.NegativeBinomial_getKurtosis(self)
def getParametersCollection(self):
"""getParametersCollection(NegativeBinomial self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.NegativeBinomial_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(NegativeBinomial self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(NegativeBinomial self, NumericalPointCollection parametersCollection)
setParametersCollection(NegativeBinomial self, NumericalPoint parameters)
setParametersCollection(NegativeBinomial self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.NegativeBinomial_setParametersCollection(self, *args)
def setP(self, *args):
"""setP(NegativeBinomial self, OT::NumericalScalar const p)"""
return _dist_bundle2.NegativeBinomial_setP(self, *args)
def getP(self):
"""getP(NegativeBinomial self) -> OT::NumericalScalar"""
return _dist_bundle2.NegativeBinomial_getP(self)
def setR(self, *args):
"""setR(NegativeBinomial self, OT::NumericalScalar const r)"""
return _dist_bundle2.NegativeBinomial_setR(self, *args)
def getR(self):
"""getR(NegativeBinomial self) -> OT::NumericalScalar"""
return _dist_bundle2.NegativeBinomial_getR(self)
def __init__(self, *args):
"""
__init__(OT::NegativeBinomial self) -> NegativeBinomial
__init__(OT::NegativeBinomial self, OT::NumericalScalar const r, OT::NumericalScalar const p) -> NegativeBinomial
__init__(OT::NegativeBinomial self, NegativeBinomial other) -> NegativeBinomial
"""
this = _dist_bundle2.new_NegativeBinomial(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_NegativeBinomial
__del__ = lambda self : None;
NegativeBinomial_swigregister = _dist_bundle2.NegativeBinomial_swigregister
NegativeBinomial_swigregister(NegativeBinomial)
def NegativeBinomial_GetClassName():
"""NegativeBinomial_GetClassName() -> OT::String"""
return _dist_bundle2.NegativeBinomial_GetClassName()
class NegativeBinomialFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::NegativeBinomialFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, NegativeBinomialFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, NegativeBinomialFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.NegativeBinomialFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(NegativeBinomialFactory self) -> OT::String"""
return _dist_bundle2.NegativeBinomialFactory_getClassName(self)
def build(self, *args):
"""
build(NegativeBinomialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(NegativeBinomialFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(NegativeBinomialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(NegativeBinomialFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(NegativeBinomialFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(NegativeBinomialFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(NegativeBinomialFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.NegativeBinomialFactory_build(self, *args)
def buildAsNegativeBinomial(self, *args):
"""
buildAsNegativeBinomial(NegativeBinomialFactory self, NumericalSample sample) -> NegativeBinomial
buildAsNegativeBinomial(NegativeBinomialFactory self, NumericalPointCollection parameters) -> NegativeBinomial
buildAsNegativeBinomial(NegativeBinomialFactory self, NumericalPointWithDescriptionCollection parameters) -> NegativeBinomial
buildAsNegativeBinomial(NegativeBinomialFactory self) -> NegativeBinomial
"""
return _dist_bundle2.NegativeBinomialFactory_buildAsNegativeBinomial(self, *args)
def __init__(self, *args):
"""
__init__(OT::NegativeBinomialFactory self) -> NegativeBinomialFactory
__init__(OT::NegativeBinomialFactory self, NegativeBinomialFactory other) -> NegativeBinomialFactory
"""
this = _dist_bundle2.new_NegativeBinomialFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_NegativeBinomialFactory
__del__ = lambda self : None;
NegativeBinomialFactory_swigregister = _dist_bundle2.NegativeBinomialFactory_swigregister
NegativeBinomialFactory_swigregister(NegativeBinomialFactory)
def NegativeBinomialFactory_GetClassName():
"""NegativeBinomialFactory_GetClassName() -> OT::String"""
return _dist_bundle2.NegativeBinomialFactory_GetClassName()
class NonCentralChiSquare(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::NonCentralChiSquare class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, NonCentralChiSquare, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, NonCentralChiSquare, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.NonCentralChiSquare_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(NonCentralChiSquare self) -> OT::String"""
return _dist_bundle2.NonCentralChiSquare_getClassName(self)
def __eq__(self, *args):
"""__eq__(NonCentralChiSquare self, NonCentralChiSquare other) -> OT::Bool"""
return _dist_bundle2.NonCentralChiSquare___eq__(self, *args)
def __repr__(self):
"""__repr__(NonCentralChiSquare self) -> OT::String"""
return _dist_bundle2.NonCentralChiSquare___repr__(self)
def __str__(self, offset=""):
"""
__str__(NonCentralChiSquare self, OT::String const & offset="") -> OT::String
__str__(NonCentralChiSquare self) -> OT::String
"""
return _dist_bundle2.NonCentralChiSquare___str__(self, offset)
def getRealization(self):
"""getRealization(NonCentralChiSquare self) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_getRealization(self)
def computePDF(self, *args):
"""
computePDF(NonCentralChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(NonCentralChiSquare self, NumericalPoint point) -> OT::NumericalScalar
computePDF(NonCentralChiSquare self, NumericalSample sample) -> NumericalSample
computePDF(NonCentralChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(NonCentralChiSquare self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(NonCentralChiSquare self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NonCentralChiSquare_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(NonCentralChiSquare self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(NonCentralChiSquare self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(NonCentralChiSquare self, NumericalSample sample) -> NumericalSample
computeCDF(NonCentralChiSquare self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(NonCentralChiSquare self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(NonCentralChiSquare self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NonCentralChiSquare_computeCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""computeCharacteristicFunction(NonCentralChiSquare self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.NonCentralChiSquare_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""computeLogCharacteristicFunction(NonCentralChiSquare self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
return _dist_bundle2.NonCentralChiSquare_computeLogCharacteristicFunction(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(NonCentralChiSquare self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(NonCentralChiSquare self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(NonCentralChiSquare self) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(NonCentralChiSquare self) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(NonCentralChiSquare self) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(NonCentralChiSquare self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.NonCentralChiSquare_getStandardMoment(self, *args)
def getParametersCollection(self):
"""getParametersCollection(NonCentralChiSquare self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.NonCentralChiSquare_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(NonCentralChiSquare self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(NonCentralChiSquare self, NumericalPointCollection parametersCollection)
setParametersCollection(NonCentralChiSquare self, NumericalPoint parameters)
setParametersCollection(NonCentralChiSquare self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.NonCentralChiSquare_setParametersCollection(self, *args)
def setNu(self, *args):
"""setNu(NonCentralChiSquare self, OT::NumericalScalar const nu)"""
return _dist_bundle2.NonCentralChiSquare_setNu(self, *args)
def setNuLambda(self, *args):
"""setNuLambda(NonCentralChiSquare self, OT::NumericalScalar const nu, OT::NumericalScalar const _lambda)"""
return _dist_bundle2.NonCentralChiSquare_setNuLambda(self, *args)
def getNu(self):
"""getNu(NonCentralChiSquare self) -> OT::NumericalScalar"""
return _dist_bundle2.NonCentralChiSquare_getNu(self)
def setLambda(self, *args):
"""setLambda(NonCentralChiSquare self, OT::NumericalScalar const _lambda)"""
return _dist_bundle2.NonCentralChiSquare_setLambda(self, *args)
def getLambda(self):
"""getLambda(NonCentralChiSquare self) -> OT::NumericalScalar"""
return _dist_bundle2.NonCentralChiSquare_getLambda(self)
def setMaximumIteration(self, *args):
"""setMaximumIteration(NonCentralChiSquare self, OT::UnsignedLong const maximumIteration)"""
return _dist_bundle2.NonCentralChiSquare_setMaximumIteration(self, *args)
def getMaximumIteration(self):
"""getMaximumIteration(NonCentralChiSquare self) -> OT::UnsignedLong"""
return _dist_bundle2.NonCentralChiSquare_getMaximumIteration(self)
def __init__(self, *args):
"""
__init__(OT::NonCentralChiSquare self, OT::NumericalScalar const nu=5.0, OT::NumericalScalar const _lambda=0.0) -> NonCentralChiSquare
__init__(OT::NonCentralChiSquare self, OT::NumericalScalar const nu=5.0) -> NonCentralChiSquare
__init__(OT::NonCentralChiSquare self) -> NonCentralChiSquare
__init__(OT::NonCentralChiSquare self, NonCentralChiSquare other) -> NonCentralChiSquare
"""
this = _dist_bundle2.new_NonCentralChiSquare(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_NonCentralChiSquare
__del__ = lambda self : None;
NonCentralChiSquare_swigregister = _dist_bundle2.NonCentralChiSquare_swigregister
NonCentralChiSquare_swigregister(NonCentralChiSquare)
def NonCentralChiSquare_GetClassName():
"""NonCentralChiSquare_GetClassName() -> OT::String"""
return _dist_bundle2.NonCentralChiSquare_GetClassName()
class NonCentralStudent(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::NonCentralStudent class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, NonCentralStudent, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, NonCentralStudent, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.NonCentralStudent_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(NonCentralStudent self) -> OT::String"""
return _dist_bundle2.NonCentralStudent_getClassName(self)
def __eq__(self, *args):
"""__eq__(NonCentralStudent self, NonCentralStudent other) -> OT::Bool"""
return _dist_bundle2.NonCentralStudent___eq__(self, *args)
def __repr__(self):
"""__repr__(NonCentralStudent self) -> OT::String"""
return _dist_bundle2.NonCentralStudent___repr__(self)
def __str__(self, offset=""):
"""
__str__(NonCentralStudent self, OT::String const & offset="") -> OT::String
__str__(NonCentralStudent self) -> OT::String
"""
return _dist_bundle2.NonCentralStudent___str__(self, offset)
def getRealization(self):
"""getRealization(NonCentralStudent self) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_getRealization(self)
def computePDF(self, *args):
"""
computePDF(NonCentralStudent self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(NonCentralStudent self, NumericalPoint point) -> OT::NumericalScalar
computePDF(NonCentralStudent self, NumericalSample sample) -> NumericalSample
computePDF(NonCentralStudent self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(NonCentralStudent self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(NonCentralStudent self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NonCentralStudent_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(NonCentralStudent self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(NonCentralStudent self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(NonCentralStudent self, NumericalSample sample) -> NumericalSample
computeCDF(NonCentralStudent self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(NonCentralStudent self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(NonCentralStudent self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.NonCentralStudent_computeCDF(self, *args)
def computePDFGradient(self, *args):
"""computePDFGradient(NonCentralStudent self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_computePDFGradient(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(NonCentralStudent self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_computeCDFGradient(self, *args)
def getStandardDeviation(self):
"""getStandardDeviation(NonCentralStudent self) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(NonCentralStudent self) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(NonCentralStudent self) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(NonCentralStudent self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.NonCentralStudent_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(NonCentralStudent self) -> DistributionImplementationPointer"""
return _dist_bundle2.NonCentralStudent_getStandardRepresentative(self)
def getParametersCollection(self):
"""getParametersCollection(NonCentralStudent self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.NonCentralStudent_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(NonCentralStudent self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(NonCentralStudent self, NumericalPointCollection parametersCollection)
setParametersCollection(NonCentralStudent self, NumericalPoint parameters)
setParametersCollection(NonCentralStudent self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.NonCentralStudent_setParametersCollection(self, *args)
def setNu(self, *args):
"""setNu(NonCentralStudent self, OT::NumericalScalar const nu)"""
return _dist_bundle2.NonCentralStudent_setNu(self, *args)
def getNu(self):
"""getNu(NonCentralStudent self) -> OT::NumericalScalar"""
return _dist_bundle2.NonCentralStudent_getNu(self)
def setDelta(self, *args):
"""setDelta(NonCentralStudent self, OT::NumericalScalar const delta)"""
return _dist_bundle2.NonCentralStudent_setDelta(self, *args)
def getDelta(self):
"""getDelta(NonCentralStudent self) -> OT::NumericalScalar"""
return _dist_bundle2.NonCentralStudent_getDelta(self)
def setGamma(self, *args):
"""setGamma(NonCentralStudent self, OT::NumericalScalar const gamma)"""
return _dist_bundle2.NonCentralStudent_setGamma(self, *args)
def getGamma(self):
"""getGamma(NonCentralStudent self) -> OT::NumericalScalar"""
return _dist_bundle2.NonCentralStudent_getGamma(self)
def __init__(self, *args):
"""
__init__(OT::NonCentralStudent self, OT::NumericalScalar const nu=5.0, OT::NumericalScalar const delta=0.0, OT::NumericalScalar const gamma=0.0) -> NonCentralStudent
__init__(OT::NonCentralStudent self, OT::NumericalScalar const nu=5.0, OT::NumericalScalar const delta=0.0) -> NonCentralStudent
__init__(OT::NonCentralStudent self, OT::NumericalScalar const nu=5.0) -> NonCentralStudent
__init__(OT::NonCentralStudent self) -> NonCentralStudent
__init__(OT::NonCentralStudent self, NonCentralStudent other) -> NonCentralStudent
"""
this = _dist_bundle2.new_NonCentralStudent(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_NonCentralStudent
__del__ = lambda self : None;
NonCentralStudent_swigregister = _dist_bundle2.NonCentralStudent_swigregister
NonCentralStudent_swigregister(NonCentralStudent)
def NonCentralStudent_GetClassName():
"""NonCentralStudent_GetClassName() -> OT::String"""
return _dist_bundle2.NonCentralStudent_GetClassName()
class Normal(openturns.model_copula.EllipticalDistribution):
"""Proxy of C++ OT::Normal class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.EllipticalDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, Normal, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.EllipticalDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, Normal, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.Normal_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(Normal self) -> OT::String"""
return _dist_bundle2.Normal_getClassName(self)
def __repr__(self):
"""__repr__(Normal self) -> OT::String"""
return _dist_bundle2.Normal___repr__(self)
def __str__(self, offset=""):
"""
__str__(Normal self, OT::String const & offset="") -> OT::String
__str__(Normal self) -> OT::String
"""
return _dist_bundle2.Normal___str__(self, offset)
def computeDensityGenerator(self, *args):
"""computeDensityGenerator(Normal self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeDensityGenerator(self, *args)
def computeDensityGeneratorDerivative(self, *args):
"""computeDensityGeneratorDerivative(Normal self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeDensityGeneratorDerivative(self, *args)
def computeDensityGeneratorSecondDerivative(self, *args):
"""computeDensityGeneratorSecondDerivative(Normal self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeDensityGeneratorSecondDerivative(self, *args)
def getRealization(self):
"""getRealization(Normal self) -> NumericalPoint"""
return _dist_bundle2.Normal_getRealization(self)
def getSample(self, *args):
"""getSample(Normal self, OT::UnsignedLong const size) -> NumericalSample"""
return _dist_bundle2.Normal_getSample(self, *args)
def computeCDF(self, *args):
"""
computeCDF(Normal self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(Normal self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(Normal self, NumericalSample sample) -> NumericalSample
computeCDF(Normal self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(Normal self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(Normal self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.Normal_computeCDF(self, *args)
def computeCharacteristicFunction(self, *args):
"""
computeCharacteristicFunction(Normal self, OT::NumericalScalar const x) -> OT::NumericalComplex
computeCharacteristicFunction(Normal self, NumericalPoint x) -> OT::NumericalComplex
"""
return _dist_bundle2.Normal_computeCharacteristicFunction(self, *args)
def computeLogCharacteristicFunction(self, *args):
"""
computeLogCharacteristicFunction(Normal self, OT::NumericalScalar const x) -> OT::NumericalComplex
computeLogCharacteristicFunction(Normal self, NumericalPoint x) -> OT::NumericalComplex
"""
return _dist_bundle2.Normal_computeLogCharacteristicFunction(self, *args)
def computeProbability(self, *args):
"""computeProbability(Normal self, Interval interval) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeProbability(self, *args)
def computeCDFGradient(self, *args):
"""computeCDFGradient(Normal self, NumericalPoint point) -> NumericalPoint"""
return _dist_bundle2.Normal_computeCDFGradient(self, *args)
def computeRadialDistributionCDF(self, *args):
"""
computeRadialDistributionCDF(Normal self, OT::NumericalScalar const radius, OT::Bool const tail=False) -> OT::NumericalScalar
computeRadialDistributionCDF(Normal self, OT::NumericalScalar const radius) -> OT::NumericalScalar
"""
return _dist_bundle2.Normal_computeRadialDistributionCDF(self, *args)
def computeConditionalPDF(self, *args):
"""computeConditionalPDF(Normal self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeConditionalPDF(self, *args)
def computeConditionalCDF(self, *args):
"""computeConditionalCDF(Normal self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeConditionalCDF(self, *args)
def computeConditionalQuantile(self, *args):
"""computeConditionalQuantile(Normal self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_computeConditionalQuantile(self, *args)
def getMarginal(self, *args):
"""
getMarginal(Normal self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(Normal self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle2.Normal_getMarginal(self, *args)
def getRoughness(self):
"""getRoughness(Normal self) -> OT::NumericalScalar"""
return _dist_bundle2.Normal_getRoughness(self)
def getSkewness(self):
"""getSkewness(Normal self) -> NumericalPoint"""
return _dist_bundle2.Normal_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(Normal self) -> NumericalPoint"""
return _dist_bundle2.Normal_getKurtosis(self)
def getStandardMoment(self, *args):
"""getStandardMoment(Normal self, OT::UnsignedLong const n) -> NumericalPoint"""
return _dist_bundle2.Normal_getStandardMoment(self, *args)
def getStandardRepresentative(self):
"""getStandardRepresentative(Normal self) -> DistributionImplementationPointer"""
return _dist_bundle2.Normal_getStandardRepresentative(self)
def setCorrelation(self, *args):
"""setCorrelation(Normal self, CorrelationMatrix R)"""
return _dist_bundle2.Normal_setCorrelation(self, *args)
def getCopula(self):
"""getCopula(Normal self) -> DistributionImplementationPointer"""
return _dist_bundle2.Normal_getCopula(self)
def hasIndependentCopula(self):
"""hasIndependentCopula(Normal self) -> OT::Bool"""
return _dist_bundle2.Normal_hasIndependentCopula(self)
def __init__(self, *args):
"""
__init__(OT::Normal self, OT::UnsignedLong const dimension=1) -> Normal
__init__(OT::Normal self) -> Normal
__init__(OT::Normal self, OT::NumericalScalar const mu, OT::NumericalScalar const sd) -> Normal
__init__(OT::Normal self, NumericalPoint mean, NumericalPoint sigma, CorrelationMatrix R) -> Normal
__init__(OT::Normal self, NumericalPoint mean, CovarianceMatrix C) -> Normal
__init__(OT::Normal self, Normal other) -> Normal
"""
this = _dist_bundle2.new_Normal(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_Normal
__del__ = lambda self : None;
Normal_swigregister = _dist_bundle2.Normal_swigregister
Normal_swigregister(Normal)
def Normal_GetClassName():
"""Normal_GetClassName() -> OT::String"""
return _dist_bundle2.Normal_GetClassName()
class NormalFactory(openturns.model_copula.DistributionImplementationFactory):
"""Proxy of C++ OT::NormalFactory class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, NormalFactory, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, NormalFactory, name)
__repr__ = _swig_repr
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.NormalFactory_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(NormalFactory self) -> OT::String"""
return _dist_bundle2.NormalFactory_getClassName(self)
def build(self, *args):
"""
build(NormalFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(NormalFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
build(NormalFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(NormalFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
build(NormalFactory self, NumericalSample sample) -> DistributionImplementationPointer
build(NormalFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
build(NormalFactory self) -> DistributionImplementationPointer
"""
return _dist_bundle2.NormalFactory_build(self, *args)
def buildAsNormal(self, *args):
"""
buildAsNormal(NormalFactory self, NumericalSample sample) -> Normal
buildAsNormal(NormalFactory self, NumericalPointCollection parameters) -> Normal
buildAsNormal(NormalFactory self, NumericalPointWithDescriptionCollection parameters) -> Normal
buildAsNormal(NormalFactory self) -> Normal
"""
return _dist_bundle2.NormalFactory_buildAsNormal(self, *args)
def __init__(self, *args):
"""
__init__(OT::NormalFactory self) -> NormalFactory
__init__(OT::NormalFactory self, NormalFactory other) -> NormalFactory
"""
this = _dist_bundle2.new_NormalFactory(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_NormalFactory
__del__ = lambda self : None;
NormalFactory_swigregister = _dist_bundle2.NormalFactory_swigregister
NormalFactory_swigregister(NormalFactory)
def NormalFactory_GetClassName():
"""NormalFactory_GetClassName() -> OT::String"""
return _dist_bundle2.NormalFactory_GetClassName()
class ConditionalDistribution(Mixture):
"""Proxy of C++ OT::ConditionalDistribution class"""
__swig_setmethods__ = {}
for _s in [Mixture]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, ConditionalDistribution, name, value)
__swig_getmethods__ = {}
for _s in [Mixture]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, ConditionalDistribution, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.ConditionalDistribution_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(ConditionalDistribution self) -> OT::String"""
return _dist_bundle2.ConditionalDistribution_getClassName(self)
def __eq__(self, *args):
"""__eq__(ConditionalDistribution self, ConditionalDistribution other) -> OT::Bool"""
return _dist_bundle2.ConditionalDistribution___eq__(self, *args)
def __repr__(self):
"""__repr__(ConditionalDistribution self) -> OT::String"""
return _dist_bundle2.ConditionalDistribution___repr__(self)
def __str__(self, offset=""):
"""
__str__(ConditionalDistribution self, OT::String const & offset="") -> OT::String
__str__(ConditionalDistribution self) -> OT::String
"""
return _dist_bundle2.ConditionalDistribution___str__(self, offset)
def getRealization(self):
"""getRealization(ConditionalDistribution self) -> NumericalPoint"""
return _dist_bundle2.ConditionalDistribution_getRealization(self)
def getParametersCollection(self):
"""getParametersCollection(ConditionalDistribution self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.ConditionalDistribution_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(ConditionalDistribution self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(ConditionalDistribution self, NumericalPointCollection parametersCollection)
setParametersCollection(ConditionalDistribution self, NumericalPoint parameters)
setParametersCollection(ConditionalDistribution self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.ConditionalDistribution_setParametersCollection(self, *args)
def setConditionedDistribution(self, *args):
"""setConditionedDistribution(ConditionalDistribution self, Distribution conditionedDistribution)"""
return _dist_bundle2.ConditionalDistribution_setConditionedDistribution(self, *args)
def getConditionedDistribution(self):
"""getConditionedDistribution(ConditionalDistribution self) -> Distribution"""
return _dist_bundle2.ConditionalDistribution_getConditionedDistribution(self)
def setConditioningDistribution(self, *args):
"""setConditioningDistribution(ConditionalDistribution self, Distribution conditioningDistribution)"""
return _dist_bundle2.ConditionalDistribution_setConditioningDistribution(self, *args)
def getConditioningDistribution(self):
"""getConditioningDistribution(ConditionalDistribution self) -> Distribution"""
return _dist_bundle2.ConditionalDistribution_getConditioningDistribution(self)
def getMarginal(self, *args):
"""
getMarginal(ConditionalDistribution self, OT::UnsignedLong const i) -> DistributionImplementationPointer
getMarginal(ConditionalDistribution self, Indices indices) -> DistributionImplementationPointer
"""
return _dist_bundle2.ConditionalDistribution_getMarginal(self, *args)
def __init__(self, *args):
"""
__init__(OT::ConditionalDistribution self) -> ConditionalDistribution
__init__(OT::ConditionalDistribution self, Distribution conditionedDistribution, Distribution conditioningDistribution) -> ConditionalDistribution
__init__(OT::ConditionalDistribution self, ConditionalDistribution other) -> ConditionalDistribution
"""
this = _dist_bundle2.new_ConditionalDistribution(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_ConditionalDistribution
__del__ = lambda self : None;
ConditionalDistribution_swigregister = _dist_bundle2.ConditionalDistribution_swigregister
ConditionalDistribution_swigregister(ConditionalDistribution)
def ConditionalDistribution_GetClassName():
"""ConditionalDistribution_GetClassName() -> OT::String"""
return _dist_bundle2.ConditionalDistribution_GetClassName()
class PosteriorDistribution(openturns.model_copula.ContinuousDistribution):
"""Proxy of C++ OT::PosteriorDistribution class"""
__swig_setmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
__setattr__ = lambda self, name, value: _swig_setattr(self, PosteriorDistribution, name, value)
__swig_getmethods__ = {}
for _s in [openturns.model_copula.ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
__getattr__ = lambda self, name: _swig_getattr(self, PosteriorDistribution, name)
def GetClassName():
"""GetClassName() -> OT::String"""
return _dist_bundle2.PosteriorDistribution_GetClassName()
if _newclass:GetClassName = staticmethod(GetClassName)
__swig_getmethods__["GetClassName"] = lambda x: GetClassName
def getClassName(self):
"""getClassName(PosteriorDistribution self) -> OT::String"""
return _dist_bundle2.PosteriorDistribution_getClassName(self)
def __eq__(self, *args):
"""__eq__(PosteriorDistribution self, PosteriorDistribution other) -> OT::Bool"""
return _dist_bundle2.PosteriorDistribution___eq__(self, *args)
def __repr__(self):
"""__repr__(PosteriorDistribution self) -> OT::String"""
return _dist_bundle2.PosteriorDistribution___repr__(self)
def __str__(self, offset=""):
"""
__str__(PosteriorDistribution self, OT::String const & offset="") -> OT::String
__str__(PosteriorDistribution self) -> OT::String
"""
return _dist_bundle2.PosteriorDistribution___str__(self, offset)
def computePDF(self, *args):
"""
computePDF(PosteriorDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computePDF(PosteriorDistribution self, NumericalPoint point) -> OT::NumericalScalar
computePDF(PosteriorDistribution self, NumericalSample sample) -> NumericalSample
computePDF(PosteriorDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computePDF(PosteriorDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computePDF(PosteriorDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.PosteriorDistribution_computePDF(self, *args)
def computeCDF(self, *args):
"""
computeCDF(PosteriorDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
computeCDF(PosteriorDistribution self, NumericalPoint point) -> OT::NumericalScalar
computeCDF(PosteriorDistribution self, NumericalSample sample) -> NumericalSample
computeCDF(PosteriorDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber,
NumericalSample grid) -> NumericalSample
computeCDF(PosteriorDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
computeCDF(PosteriorDistribution self, NumericalPoint point) -> OT::NumericalScalar
"""
return _dist_bundle2.PosteriorDistribution_computeCDF(self, *args)
def getParametersCollection(self):
"""getParametersCollection(PosteriorDistribution self) -> NumericalPointWithDescriptionCollection"""
return _dist_bundle2.PosteriorDistribution_getParametersCollection(self)
def setParametersCollection(self, *args):
"""
setParametersCollection(PosteriorDistribution self, NumericalPointWithDescriptionCollection parametersCollection)
setParametersCollection(PosteriorDistribution self, NumericalPointCollection parametersCollection)
setParametersCollection(PosteriorDistribution self, NumericalPoint parameters)
setParametersCollection(PosteriorDistribution self, NumericalPointCollection parametersCollection)
"""
return _dist_bundle2.PosteriorDistribution_setParametersCollection(self, *args)
def setConditionalDistribution(self, *args):
"""setConditionalDistribution(PosteriorDistribution self, ConditionalDistribution conditionalDistribution)"""
return _dist_bundle2.PosteriorDistribution_setConditionalDistribution(self, *args)
def getConditionalDistribution(self):
"""getConditionalDistribution(PosteriorDistribution self) -> ConditionalDistribution"""
return _dist_bundle2.PosteriorDistribution_getConditionalDistribution(self)
def setObservations(self, *args):
"""setObservations(PosteriorDistribution self, NumericalSample observations)"""
return _dist_bundle2.PosteriorDistribution_setObservations(self, *args)
def getObservations(self):
"""getObservations(PosteriorDistribution self) -> NumericalSample"""
return _dist_bundle2.PosteriorDistribution_getObservations(self)
def getLogNormalizationFactor(self):
"""getLogNormalizationFactor(PosteriorDistribution self) -> OT::NumericalScalar"""
return _dist_bundle2.PosteriorDistribution_getLogNormalizationFactor(self)
def getStandardDeviation(self):
"""getStandardDeviation(PosteriorDistribution self) -> NumericalPoint"""
return _dist_bundle2.PosteriorDistribution_getStandardDeviation(self)
def getSkewness(self):
"""getSkewness(PosteriorDistribution self) -> NumericalPoint"""
return _dist_bundle2.PosteriorDistribution_getSkewness(self)
def getKurtosis(self):
"""getKurtosis(PosteriorDistribution self) -> NumericalPoint"""
return _dist_bundle2.PosteriorDistribution_getKurtosis(self)
def computeLikelihood(self, *args):
"""computeLikelihood(PosteriorDistribution self, NumericalPoint theta) -> NumericalPoint"""
return _dist_bundle2.PosteriorDistribution_computeLikelihood(self, *args)
def __init__(self, *args):
"""
__init__(OT::PosteriorDistribution self) -> PosteriorDistribution
__init__(OT::PosteriorDistribution self, ConditionalDistribution conditionalDistribution, NumericalSample observations) -> PosteriorDistribution
__init__(OT::PosteriorDistribution self, PosteriorDistribution other) -> PosteriorDistribution
"""
this = _dist_bundle2.new_PosteriorDistribution(*args)
try: self.this.append(this)
except: self.this = this
__swig_destroy__ = _dist_bundle2.delete_PosteriorDistribution
__del__ = lambda self : None;
PosteriorDistribution_swigregister = _dist_bundle2.PosteriorDistribution_swigregister
PosteriorDistribution_swigregister(PosteriorDistribution)
def PosteriorDistribution_GetClassName():
"""PosteriorDistribution_GetClassName() -> OT::String"""
return _dist_bundle2.PosteriorDistribution_GetClassName()
# This file is compatible with both classic and new-style classes.
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