mvpa2.clfs.transerror

Utility class to compute the transfer error of classifiers.

Inheritance diagram of mvpa2.clfs.transerror

Classes

BayesConfusionHypothesis([alpha, …]) Bayesian hypothesis testing on confusion matrices.
ClassifierError(clf[, labels, train]) Compute (or return) some error of a (trained) classifier on a dataset.
Confusion([attr, labels, add_confusion_obj]) Compute a confusion matrix from predictions and targets (Node interface)
ConfusionBasedError(clf[, labels, …]) For a given classifier report an error based on internally computed error measure (given by some ConfusionMatrix stored in some conditional attribute of Classifier).
ConfusionMatrix([labels, labels_map]) Class to contain information and display confusion matrix.
ConfusionMatrixError([labels]) Compute confusion matrix as an “error function”
ROCCurve(labels[, sets]) Generic class for ROC curve computation and plotting
RegressionStatistics(**kwargs) Class to contain information and display on regression results.
SummaryStatistics([targets, predictions, …]) Basic class to collect targets/predictions and report summary statistics