forked from moreo/QuaPy
fixing mistakes
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@ -53,8 +53,6 @@ UCI_MULTICLASS_DATASETS = ['dry-bean',
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'digits',
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'letter']
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KAGGLE_MULTICLASS_DATASETS = ['human-activity']
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LEQUA2022_TASKS = ['T1A', 'T1B', 'T2A', 'T2B']
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_TXA_SAMPLE_SIZE = 250
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@ -597,7 +595,7 @@ def fetch_UCIMulticlassLabelledCollection(dataset_name, data_home=None, verbose=
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This can be reproduced by using :meth:`quapy.data.base.Dataset.kFCV`, e.g.:
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>>> import quapy as qp
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>>> collection = qp.datasets.fetch_UCILabelledCollection("dry-bean")
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>>> collection = qp.datasets.fetch_UCIMulticlassLabelledCollection("dry-bean")
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>>> for data in qp.domains.Dataset.kFCV(collection, nfolds=5, nrepeats=2):
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>>> ...
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