python-openturns 1.2-2 / usr / share / pyshared / openturns / classification.py

# This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.10
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.


"""
Classification algorithms.
"""


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('_classification', [dirname(__file__)])
        except ImportError:
            import _classification
            return _classification
        if fp is not None:
            try:
                _mod = imp.load_module('_classification', fp, pathname, description)
            finally:
                fp.close()
            return _mod
    _classification = swig_import_helper()
    del swig_import_helper
else:
    import _classification
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__ = _classification.delete_SwigPyIterator
    __del__ = lambda self : None;
    def value(self):
        """value(SwigPyIterator self) -> PyObject *"""
        return _classification.SwigPyIterator_value(self)

    def incr(self, n=1):
        """
        incr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
        incr(SwigPyIterator self) -> SwigPyIterator
        """
        return _classification.SwigPyIterator_incr(self, n)

    def decr(self, n=1):
        """
        decr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
        decr(SwigPyIterator self) -> SwigPyIterator
        """
        return _classification.SwigPyIterator_decr(self, n)

    def distance(self, *args):
        """distance(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t"""
        return _classification.SwigPyIterator_distance(self, *args)

    def equal(self, *args):
        """equal(SwigPyIterator self, SwigPyIterator x) -> bool"""
        return _classification.SwigPyIterator_equal(self, *args)

    def copy(self):
        """copy(SwigPyIterator self) -> SwigPyIterator"""
        return _classification.SwigPyIterator_copy(self)

    def next(self):
        """next(SwigPyIterator self) -> PyObject *"""
        return _classification.SwigPyIterator_next(self)

    def __next__(self):
        """__next__(SwigPyIterator self) -> PyObject *"""
        return _classification.SwigPyIterator___next__(self)

    def previous(self):
        """previous(SwigPyIterator self) -> PyObject *"""
        return _classification.SwigPyIterator_previous(self)

    def advance(self, *args):
        """advance(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _classification.SwigPyIterator_advance(self, *args)

    def __eq__(self, *args):
        """__eq__(SwigPyIterator self, SwigPyIterator x) -> bool"""
        return _classification.SwigPyIterator___eq__(self, *args)

    def __ne__(self, *args):
        """__ne__(SwigPyIterator self, SwigPyIterator x) -> bool"""
        return _classification.SwigPyIterator___ne__(self, *args)

    def __iadd__(self, *args):
        """__iadd__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _classification.SwigPyIterator___iadd__(self, *args)

    def __isub__(self, *args):
        """__isub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _classification.SwigPyIterator___isub__(self, *args)

    def __add__(self, *args):
        """__add__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _classification.SwigPyIterator___add__(self, *args)

    def __sub__(self, *args):
        """
        __sub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator
        __sub__(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t
        """
        return _classification.SwigPyIterator___sub__(self, *args)

    def __iter__(self): return self
SwigPyIterator_swigregister = _classification.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)

GCC_VERSION = _classification.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 _classification.TestResult_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(TestResult self) -> OT::String"""
        return _classification.TestResult_getClassName(self)

    def setDescription(self, *args):
        """setDescription(TestResult self, Description description)"""
        return _classification.TestResult_setDescription(self, *args)

    def getDescription(self):
        """getDescription(TestResult self) -> Description"""
        return _classification.TestResult_getDescription(self)

    def __repr__(self):
        """__repr__(TestResult self) -> OT::String"""
        return _classification.TestResult___repr__(self)

    def getBinaryQualityMeasure(self):
        """getBinaryQualityMeasure(TestResult self) -> OT::Bool"""
        return _classification.TestResult_getBinaryQualityMeasure(self)

    def getPValue(self):
        """getPValue(TestResult self) -> OT::NumericalScalar"""
        return _classification.TestResult_getPValue(self)

    def getThreshold(self):
        """getThreshold(TestResult self) -> OT::NumericalScalar"""
        return _classification.TestResult_getThreshold(self)

    def getTestType(self):
        """getTestType(TestResult self) -> OT::String"""
        return _classification.TestResult_getTestType(self)

    def __eq__(self, *args):
        """__eq__(TestResult self, TestResult other) -> OT::Bool"""
        return _classification.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 = _classification.new_TestResult(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _classification.delete_TestResult
    __del__ = lambda self : None;
TestResult_swigregister = _classification.TestResult_swigregister
TestResult_swigregister(TestResult)

def TestResult_GetClassName():
  """TestResult_GetClassName() -> OT::String"""
  return _classification.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
import openturns.dist_bundle1
import openturns.dist_bundle2
class MixtureClassifier(openturns.algo.ClassifierImplementation):
    """Proxy of C++ OT::MixtureClassifier class"""
    __swig_setmethods__ = {}
    for _s in [openturns.algo.ClassifierImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, MixtureClassifier, name, value)
    __swig_getmethods__ = {}
    for _s in [openturns.algo.ClassifierImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, MixtureClassifier, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _classification.MixtureClassifier_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(MixtureClassifier self) -> OT::String"""
        return _classification.MixtureClassifier_getClassName(self)

    def __repr__(self):
        """__repr__(MixtureClassifier self) -> OT::String"""
        return _classification.MixtureClassifier___repr__(self)

    def classify(self, *args):
        """classify(MixtureClassifier self, NumericalPoint inP) -> OT::UnsignedLong"""
        return _classification.MixtureClassifier_classify(self, *args)

    def grade(self, *args):
        """grade(MixtureClassifier self, NumericalPoint inP, OT::UnsignedLong const outC) -> OT::NumericalScalar"""
        return _classification.MixtureClassifier_grade(self, *args)

    def getMixture(self):
        """getMixture(MixtureClassifier self) -> Mixture"""
        return _classification.MixtureClassifier_getMixture(self)

    def setMixture(self, *args):
        """setMixture(MixtureClassifier self, Mixture mixture)"""
        return _classification.MixtureClassifier_setMixture(self, *args)

    def getDimension(self):
        """getDimension(MixtureClassifier self) -> OT::UnsignedLong"""
        return _classification.MixtureClassifier_getDimension(self)

    def __init__(self, *args): 
        """
        __init__(OT::MixtureClassifier self) -> MixtureClassifier
        __init__(OT::MixtureClassifier self, Mixture mixture) -> MixtureClassifier
        __init__(OT::MixtureClassifier self, MixtureClassifier other) -> MixtureClassifier
        """
        this = _classification.new_MixtureClassifier(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _classification.delete_MixtureClassifier
    __del__ = lambda self : None;
MixtureClassifier_swigregister = _classification.MixtureClassifier_swigregister
MixtureClassifier_swigregister(MixtureClassifier)

def MixtureClassifier_GetClassName():
  """MixtureClassifier_GetClassName() -> OT::String"""
  return _classification.MixtureClassifier_GetClassName()

# This file is compatible with both classic and new-style classes.