I do not know if this is related to your problem but you should avoid
mutable default argument. Try to replace labels with a tuple. Or assign
its default value inside the function.
On Mon, Apr 13, 2015, 17:30 namma igloo <nammaig...@outlook.com> wrote:
> 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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