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BaseSplitter's train_valid_split checks assert len(test_inds) == 0.
when i use RandomSplitter, it failed. i guess calculation of
train_data_size = int(len(dataset) * frac_train) valid_data_size = int(len(dataset) * frac_valid)
may sometimes remain rest indices even if frac_train + frac_valid == 1.
we should check other splitter class and add test too.
The text was updated successfully, but these errors were encountered:
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BaseSplitter's train_valid_split checks assert len(test_inds) == 0.
when i use RandomSplitter, it failed. i guess calculation of
may sometimes remain rest indices even if frac_train + frac_valid == 1.
we should check other splitter class and add test too.
The text was updated successfully, but these errors were encountered: