org.tensorflow.framework.metrics

Classes

BinaryCrossentropy <T extends TNumber > A Metric that computes the binary cross-entropy loss between true labels and predicted labels.
CategoricalCrossentropy <T extends TNumber > A Metric that computes the categorical cross-entropy loss between true labels and predicted labels.
CategoricalHinge <T extends TNumber > A Metric that computes the categorical hinge loss metric between labels and predictions.
CosineSimilarity <T extends TNumber > A metric that computes the cosine similarity metric between labels and predictions.
Hinge <T extends TNumber > A metric that computes the hinge loss metric between labels and predictions.
KLDivergence <T extends TNumber > A metric that computes the Kullback-Leibler divergence loss metric between labels and predictions.
LogCoshError <T extends TNumber > A metric that computes the logarithm of the hyperbolic cosine of the prediction error metric between labels and predictions.
Mean <T extends TNumber > A metric that that implements a weighted mean WEIGHTED_MEAN
MeanAbsoluteError <T extends TNumber > A metric that computes the mean of absolute difference between labels and predictions.
MeanAbsolutePercentageError <T extends TNumber > A metric that computes the mean of absolute difference between labels and predictions.
MeanSquaredError <T extends TNumber > A metric that computes the mean of absolute difference between labels and predictions.
MeanSquaredLogarithmicError <T extends TNumber > A metric that computes the mean of absolute difference between labels and predictions.
Metric <T extends TNumber > Base class for Metrics
Metrics Helper class with built-in metrics functions.
Poisson <T extends TNumber > A metric that computes the poisson loss metric between labels and predictions.
SparseCategoricalCrossentropy <T extends TNumber > A metric that computes the sparse categorical cross-entropy loss between true labels and predicted labels.
SquaredHinge <T extends TNumber > A metric that computes the squared hinge loss metric between labels and predictions.

Enums

MetricReduction Defines the different types of metric reductions