Multivariate Pattern Analysis in Python

# mvpa2.clfs.transerror

Utility class to compute the transfer error of classifiers.

Functions

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

Exceptions

`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