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Additional metrics that conform to Keras API.
Modules
cohens_kappa module: Implements Cohen's Kappa.
f_scores module: Implements F scores.
geometric_mean module: Implements GeometricMean.
hamming module: Implements Hamming distance and loss.
matthews_correlation_coefficient module: Matthews Correlation Coefficient Implementation.
multilabel_confusion_matrix module: Implements Multi-label confusion matrix scores.
r_square module: Implements R^2 scores.
utils module: Utilities for metrics.
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 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 RSquare: Compute R^2 score.
Functions
hamming_distance(...): Computes hamming distance.