org.tensorflow.framework.metrics
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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
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Last updated 2021-11-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 UTC."],[],[]]