SVC gamma value of 'auto' crashes when export_data=True

[Richard Li]

For SVC's, the default value of gamma is 'auto' which causes porter to crash when using exporting data is true.

>>> output = porter.export(export_data=True)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/sklearn_porter/Porter.py", line 189, in export method_name=method_name, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/sklearn_porter/estimator/classifier/SVC/__init__.py", line 192, in export
export_append_checksum)
File "/usr/local/lib/python2.7/dist-packages/sklearn_porter/estimator/classifier/SVC/__init__.py", line 239, in export_data
'gamma': float(self.gamma),
ValueError: could not convert string to float: auto

The solution is to check if it's equal to 'auto'; if so, then set gamma equal to 1/n_features, such as:

>>> clf.gamma
'auto'
>>> clf.gamma = 1/float(clf.support_vectors_.shape[1])
>>> output = porter.export(export_data=True) # success

[Darius Morawiec]

Hello @lichard49 ,

thanks for the hint. It's fixed with the last commit (972d498) on the master branch and added to the next release branch 0.7.0. For now you can use the following commands to install the fixed version:

$ pip uninstall -y sklearn-porter
$ pip install --no-cache-dir https://github.com/nok/sklearn-porter/zipball/master