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Support for many new model output types (#93)

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* 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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abigailgold 2024-07-03 09:04:59 -04:00 • committed by GitHub
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7
apt/utils/models/__init__.py
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@ -1,6 +1,11 @@
from apt.utils.models.model import Model, BlackboxClassifier, ModelOutputType, ScoringMethod, \
BlackboxClassifierPredictions, BlackboxClassifierPredictFunction, get_nb_classes, is_one_hot, \
check_correct_model_output
check_correct_model_output, is_multi_label, is_multi_label_binary, is_logits, is_binary, \
CLASSIFIER_SINGLE_OUTPUT_CATEGORICAL, CLASSIFIER_SINGLE_OUTPUT_BINARY_PROBABILITIES, \
CLASSIFIER_SINGLE_OUTPUT_CLASS_PROBABILITIES, CLASSIFIER_SINGLE_OUTPUT_BINARY_LOGITS, \
CLASSIFIER_SINGLE_OUTPUT_CLASS_LOGITS, CLASSIFIER_MULTI_OUTPUT_CATEGORICAL, \
CLASSIFIER_MULTI_OUTPUT_BINARY_PROBABILITIES, CLASSIFIER_MULTI_OUTPUT_CLASS_PROBABILITIES, \
CLASSIFIER_MULTI_OUTPUT_BINARY_LOGITS, CLASSIFIER_MULTI_OUTPUT_CLASS_LOGITS
from apt.utils.models.sklearn_model import SklearnModel, SklearnClassifier, SklearnRegressor
from apt.utils.models.keras_model import KerasClassifier, KerasRegressor
from apt.utils.models.xgboost_model import XGBoostClassifier