miml.classifier.mi.mi_wrapper_classifier.MIWrapperClassifier

class miml.classifier.mi.mi_wrapper_classifier.MIWrapperClassifier(base_classifier=DecisionTreeClassifier())

MIWrapper Classifier.

A simple Wrapper method for applying standard propositional learners to multi-instance data.

Attributes

base_classifier

Classifier to be used

References

E. T. Frank, X. Xu (2003). Applying propositional learning algorithms to multi-instance data. Department of Computer Science, University of Waikato, Hamilton, NZ.

__init__(base_classifier=DecisionTreeClassifier())

Methods

__init__([base_classifier])
fit(x_train, y_train[, weight])	Fit the classifier to the training data.
predict(bag)	Predict the label of the bag
predict_proba(x_test)	Predict probabilities of given data of having a positive label