tfmri.metrics¶

Keras metrics.

Classes¶

`Accuracy`	Computes accuracy.
`ConfusionMetric`	Abstract base class for metrics derived from the confusion matrix.
`F1Score`	Computes F-1 score.
`FBetaScore`	Computes F-beta score.
`IoU`	Computes the intersection-over-union (IoU) metric.
`NegativePredictiveValue`	Computes the negative predictive value (NPV).
`PSNR`	Peak signal-to-noise ratio (PSNR) metric.
`PositivePredictiveValue`	Computes the positive predictive value (PPV).
`SSIM`	Structural similarity index (SSIM) metric.
`SSIMMultiscale`	Multiscale structural similarity index (MS-SSIM) metric.
`TrueNegativeRate`	Computes the true negative rate (TNR).
`TruePositiveRate`	Computes the true positive rate (TPR).
`TverskyIndex`	Computes Tversky index.