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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