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Support for many new model output types (#93)
* General model wrappers and methods supporting multi-label classifiers * Support for pytorch multi-label binary classifier * New model output types + single implementation of score method that supports multiple output types. * Anonymization with pytorch multi-output binary model * Support for multi-label binary models in minimizer. * Support for multi-label logits/probabilities --------- Signed-off-by: abigailt <abigailt@il.ibm.com>
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@ -4,4 +4,4 @@ Implementation of datasets utility components for datasets creation, load, and s
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"""
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from apt.utils.datasets.datasets import Dataset, StoredDataset, DatasetFactory, Data, ArrayDataset, \
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DatasetWithPredictions, OUTPUT_DATA_ARRAY_TYPE, DATA_PANDAS_NUMPY_TYPE
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DatasetWithPredictions, array2numpy, OUTPUT_DATA_ARRAY_TYPE, DATA_PANDAS_NUMPY_TYPE
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