ai-privacy-toolkit/apt/utils/models/__init__.py

from apt.utils.models.model import Model, BlackboxClassifier, ModelOutputType, ScoringMethod, \
    BlackboxClassifierPredictions, BlackboxClassifierPredictFunction, get_nb_classes, is_one_hot, \
    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
Blackbox predict method (#43) * Support output probabilities * Support black box classifier with predict method * Update requirements (security alert #1) 2022-06-30 18:23:53 +03:00			`from apt.utils.models.model import Model, BlackboxClassifier, ModelOutputType, ScoringMethod, \`
Check for mismatch between model output type and actual output 2022-07-19 08:43:19 +03:00			`BlackboxClassifierPredictions, BlackboxClassifierPredictFunction, get_nb_classes, is_one_hot, \`
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> 2024-07-03 09:04:59 -04:00			`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`
Data and Model wrappers (#26) * Squashed commit of wrappers: Wrapper minimizer * apply dataset wrapper on minimizer * apply changes on minimization notebook * add black_box_access and unlimited_queries params Dataset wrapper anonymizer Add features_names to ArrayDataset and allow providing features names in QI and Cat features not just indexes update notebooks categorical features and QI passed by indexes dataset include feature names and is_pandas param add pytorch Dataset Remove redundant code. Use data wrappers in model wrapper APIs. add generic dataset components Create initial version of wrappers for models * Fix handling of categorical features 2022-04-27 12:33:27 +03:00			`from apt.utils.models.sklearn_model import SklearnModel, SklearnClassifier, SklearnRegressor`
Keras regression support 2022-07-20 14:17:25 +03:00			`from apt.utils.models.keras_model import KerasClassifier, KerasRegressor`
Add support for xgboost XGBClassifier (#53) 2022-07-28 16:31:08 +03:00			`from apt.utils.models.xgboost_model import XGBoostClassifier`