meta — NodePit

A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies.

Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.

Implements Grading. The base classifiers are "graded".

Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter […]

Class for performing additive logistic regression.

This metaclassifier makes its base classifier cost-sensitive.

Class for boosting a classifier using the MultiBoosting method.

A metaclassifier for handling multi-class datasets with 2-class classifiers.

Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.

Meta classifier that allows standard classification algorithms to be applied to ordinal class problems.