Module: tfa.metrics
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Additional metrics that conform to Keras API.
Classes
class CohenKappa: Computes Kappa score between two raters.
class F1Score: Computes F-1 Score.
class FBetaScore: Computes F-Beta score.
class GeometricMean: Compute Geometric Mean
class HammingLoss: Computes hamming loss.
class HarmonicMean: Compute Harmonic Mean The harmonic mean is a kind of mean.
class KendallsTauB: Computes Kendall's Tau-b Rank Correlation Coefficient.
class KendallsTauC: Computes Kendall's Tau-c Rank Correlation Coefficient.
class MatthewsCorrelationCoefficient: Computes the Matthews Correlation Coefficient.
class MeanMetricWrapper: Wraps a stateless metric function with the Mean metric.
class MultiLabelConfusionMatrix: Computes Multi-label confusion matrix.
class PearsonsCorrelation: Computes Pearsons's Correlation Coefficient.
class RSquare: Compute R^2 score.
class SpearmansRank: Computes Spearman's Rank Correlation Coefficient.
Functions
hamming_distance(...): Computes hamming distance.
hamming_loss_fn(...): Computes hamming loss.