Ignoring the class label 'O' from evaluation will be possible with #4287
<https://github.com/scikit-learn/scikit-learn/pull/4287> merged
On 14 April 2015 at 11:43, namma igloo <nammaig...@outlook.com> wrote:
> I was removing the class 'O' (other) from labels as given in the
> python-crfsuite example [1]. It is interesting that the same code with one
> less label works in original example, but not with my data. Anyway, I could
> fix the issue by keeping all the labels. Thanks a lot Andreas!
>
> Cheers
>
> [1] function bio_classification_report () -
> http://nbviewer.ipython.org/github/tpeng/python-crfsuite/blob/master/examples/CoNLL%202002.ipynb
>
> ------------------------------
> Date: Mon, 13 Apr 2015 18:27:20 -0400
> From: t3k...@gmail.com
> To: scikit-learn-general@lists.sourceforge.net
> Subject: Re: [Scikit-learn-general] Help: Getting ValueError
> @precision_recall_fscore_support
>
> I think this is because your y_true_combined has five classes, while your
> labels and target names only have four classes.
>
>
> On 04/13/2015 11:29 AM, namma igloo 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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