Hi,
I'm new to sklearn and trying out python-crfsuit example [1] on my own data and
following the example code, I'm getting -@precision_recall_fscore_support
method: ValueError: too many boolean indices
I must note that this method is called by [classification_report] function
which I'm calling with following signature:
classification_report( y_true_combined, y_pred_combined,
labels = [class_indices[cls] for cls in tagset], target_names = tagset )
I do not get any error if I omit the optional parameters 'labels' and
'target_names'. So I am not sure if the issue is because of values of those two
parameters or somewhere else.
I have pasted here [2] the values of all four variables supplied to
classification_report.I'll appreciate in any help in troubleshooting this issue.
[1]
http://nbviewer.ipython.org/github/tpeng/python-crfsuite/blob/master/examples/CoNLL%202002.ipynb[2]
http://pastebin.com/qaq7Kf1u
Thanks
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