Fix probabilities returned by label_components #36
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mscheltienne
added
the
🐞 bug
Codecov Report
@@ Coverage Diff @@
## main #36 +/- ##
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Coverage 96.26% 96.26%
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Files 12 12
Lines 509 509
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Hits 490 490
Misses 19 19
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adam2392
reviewed
May 6, 2022
| @@ -56,7 +56,7 @@ def label_components(inst: Union[BaseRaw, BaseEpochs], ica: ICA, method: str): | |||
| labels_pred_proba = methods[method](inst, ica) | |||
| labels_pred = np.argmax(labels_pred_proba, axis=1) | |||
| labels = [ICLABEL_NUMERICAL_TO_STRING[label] for label in labels_pred] | |||
| y_pred_proba = labels_pred_proba[:, labels_pred] | |||
| y_pred_proba = labels_pred_proba[np.arange(15), labels_pred] | |||
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Doesn't this mean predictions are always predicting 15 components? Even if ICA produces e.G. 30 components?
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oh my god.. yes..
I was doing too many things at once, I'll fix it when I get home in 20 minutes.
Merged
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Previous selection would return a square matrix, e.g. if 15 components were provided, we would go from
(15, 7)shape to(15, 15)instead of(15, ).