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Cramers v #1446
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deepchecks/tabular/checks/distribution/train_test_feature_drift.py
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deepchecks/tabular/checks/distribution/train_test_feature_drift.py
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deepchecks/tabular/checks/distribution/train_test_label_drift.py
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deepchecks/tabular/checks/distribution/train_test_label_drift.py
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deepchecks/vision/checks/distribution/train_test_label_drift.py
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tests/vision/checks/distribution/train_test_prediction_drift_test.py
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deepchecks/tabular/checks/distribution/train_test_feature_drift.py
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@@ -107,6 +117,7 @@ def __init__( | |||
else: | |||
raise DeepchecksValueError('sort_feature_by must be either "feature importance" or "drift score"') | |||
self.n_top_columns = n_top_columns | |||
self.categorical_drift_method = categorical_drift_method |
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maybe validate the value in the init?
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in similar cases we also don't check on init so I don't think this case should be an exception
Approved the docs part. |
closes #1272