- class miml.classifier.mimlTOmi.miml_to_mi_lp_classifier.MIMLtoMILPClassifier(classifier)#
Bases:
MIMLtoMIClassifier
Class to represent a multi-instance classifier using a label powerset transformation
- fit_internal(dataset_train: MIMLDataset) None #
Training the classifier
Parameters#
- dataset_train: MIMLDataset
Dataset to train the classifier
- predict(x: ndarray) ndarray #
Predict labels of given data
Parameters#
- xndarray of shape (n_instances, n_features)
Data to predict their labels
Returns#
- resultsndarray of shape (n_labels)
Predicted labels
- predict_proba(dataset_test: MIMLDataset)#
Predict probabilities of given dataset of having a positive label
Parameters#
- dataset_testMIMLDataset
Dataset to predict probabilities
Returns#
- results: np.ndarray of shape (n_instances, n_features)
Predicted probabilities for given dataset