/usr/share/pyshared/pebl/learner/custom.py is in python-pebl 1.0.2-2build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | from __future__ import with_statement
import sys, os, os.path
import tempfile
from functools import partial
import shutil
import cPickle
import numpy as N
from pebl import network, config, evaluator, data, prior
from pebl.learner.base import Learner
#TODO: test
class CustomLearner(Learner):
def __init__(self, data_, prior_=None, learnerurl=':', **kw):
"""Create a CustomLearner wrapper.
If you don't use a TaskController, you can simply create a custom
learner (as a Learner subclass) and run it. With a TaskController,
however, the learner might run on a different machine and so its code
needs to be copied over to any worker machine(s). This is what
CustomLearner does.
learnerurl is your custom learner class specified as "<file>:<class>"
(for example, "/Users/shahad/mycode.py:SuperLearner").
Example::
dataset = data.fromfile("data.txt")
tc = taskcontroller.XgridController()
mylearner = CustomLearner(
dataset,
learnerurl="/Users/shahad/mycode.py:SuperLearner"
)
# learner will run on the Xgrid (where mycode.py doesn't exist)
results = tc.run([mylearner])
"""
# save info so custom learner can be recreated at run (possibly on a
# different machine)
self.learner_filepath, self.learner_class = learnerurl.split(':')
self.learner_filename = os.path.basename(self.learner_filepath)
self.learner_source = open(self.learner_filepath).read()
self.data = data_
self.prior = prior_
self.kw = kw
def run(self):
# re-create the custom learner
tempdir = tempfile.mkdtemp()
with file(os.path.join(tempdir, self.learner_filename), 'w') as f:
f.write(self.learner_source)
sys.path.insert(0, tempdir)
modname = self.learner_filename.split('.')[0]
mod = __import__(modname, fromlist=['*'])
reload(mod) # to load the latest if an older version exists
custlearner = getattr(mod, self.learner_class)
# run the custom learner
clearn = custlearner(
self.data or data.fromconfig(),
self.prior or prior.fromconfig(),
**self.kw
)
self.result = clearn.run()
# cleanup
sys.path.remove(tempdir)
shutil.rmtree(tempdir)
return self.result
class CustomResult:
def __init__(self, **kw):
for k,v in kw.iteritems():
setattr(self, k, v)
def tofile(self, filename=None):
filename = filename or config.get('result.filename')
with open(filename, 'w') as fp:
cPickle.dump(self, fp)
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