scikit-learn fit function classification -

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i using fit function classification training in scikit-learn. example, while using random forests, 1 typically uses following type of code:

import sklearn sklearn.ensemble import randomforestclassifier rf forest=rf(n_estimators=10) forest=forest.fit(trainingx,trainingy)

unfortunately, following error when using python 3:

c:\anaconda3\lib\site-packages\sklearn\base.py:175: deprecationwarning: inspect.getargspec() deprecated, use inspect.signature() instead forest=forest.fit( args, varargs, kw, default = inspect.getargspec(init)

c:\anaconda3\lib\site-packages\sklearn\base.py:175: deprecationwarning: inspect.getargspec() deprecated, use inspect.signature() instead args, varargs, kw, default = inspect.getargspec(init)

does know error means?

it looks getargspec deprecated since python 3.0(see getargspec doc), getting warnings (not errors) when gets called. used lot in sklearn.

there discussion of on scikit-learn issue tracker. raised here , fixed here. has been fixed 0.17, current stable release. if warnings problem you, should update sklearn conda update scikit-learn.


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