> Could you please provide a minimum code sample to reproduce and open an
> issue on github.
Following the minimalistic code to reproduce the issue (assuming the
classifier is already trained and saved). I will open the issue on github for
the same.
-------------------------------------------------------------
from sklearn.externals import joblib
# Train the classifier on a dataset of text
# documents with
# OneVsRestClassifier(SGDClassifier(loss=log, n_iter=35))
# classifier object dumped using joblib.dump,
# without compression, for later use.
classifier = joblib.load("classifier.joblib")
with open("file") as f:
document = f.read()
predict=classifier.predict(document)
--------------------------------------------------------------
> That would be great.
> Which version of sklearn are you using?
I am on scikit 0.12.1
>
> Also, are you aware that you don't need the OneVsRestClassifier for
> multi-class support in SGDClassifier?
> SGDClassifier has multi-class support on its own.
> If you didn't know this, it would be good if you could point us to the
> docs that gave you the impression
> you needed OneVsRestClassifier - this seems to be a common misconception.
I am using OneVsRest so as to analyze the binary classifiers for each category.
I also tried downloading the 0.13 version from source and installing it. This
time I see a different error. The steps to reproduce for version 0.13 in
ipython
are as follows:
$ ipython
Python 2.6.6 (r266:84292, Jun 18 2012, 14:18:47)
Type "copyright", "credits" or "license" for more information.
IPython 0.13 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object', use 'object??' for extra details.
In [1]: import sklearn
In [2]: from sklearn.externals import joblib
In [3]: clf = joblib.load("/home/n7/classifier.joblib")
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-3-999ca461c6f0> in <module>()
----> 1 clf = joblib.load("/home/n7/classifier.joblib")
/home/n7/env/lib/python2.6/site-
packages/sklearn/externals/joblib/numpy_pickle.pyc in load(filename, mmap_mode)
416
417 try:
--> 418 obj = unpickler.load()
419 finally:
420 if hasattr(unpickler, 'file_handle'):
/usr/lib64/python2.6/pickle.pyc in load(self)
856 while 1:
857 key = read(1)
--> 858 dispatch[key](self)
859 except _Stop, stopinst:
860 return stopinst.value
/usr/lib64/python2.6/pickle.pyc in load_global(self)
1088 module = self.readline()[:-1]
1089 name = self.readline()[:-1]
-> 1090 klass = self.find_class(module, name)
1091 self.append(klass)
1092 dispatch[GLOBAL] = load_global
/usr/lib64/python2.6/pickle.pyc in find_class(self, module, name)
1122 def find_class(self, module, name):
1123 # Subclasses may override this
-> 1124 __import__(module)
1125 mod = sys.modules[module]
1126 klass = getattr(mod, name)
/home/n7/env/lib/python2.6/site-packages/sklearn/linear_model/__init__.py in
<module>()
22 from .ridge import Ridge, RidgeCV, RidgeClassifier, RidgeClassifierCV, \
23 ridge_regression
---> 24 from .logistic import LogisticRegression
25 from .omp import orthogonal_mp, orthogonal_mp_gram,
OrthogonalMatchingPursuit
26 from .perceptron import Perceptron
/home/n7/env/lib/python2.6/site-packages/sklearn/linear_model/logistic.py in
<module>()
4 from ..feature_selection.selector_mixin import SelectorMixin
5 from ..svm.base import BaseLibLinear
----> 6 from ..svm.liblinear import csr_predict_prob_wrap, predict_prob_wrap
7
8
ImportError: cannot import name csr_predict_prob_wrap
------------------------------------------------------------------------------
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