keras (version 0.3.5)

metric_binary_accuracy: Model performance metrics

Description

Model performance metrics

Usage

metric_binary_accuracy(y_true, y_pred)
metric_binary_crossentropy(y_true, y_pred)
metric_categorical_accuracy(y_true, y_pred)
metric_categorical_crossentropy(y_true, y_pred)
metric_cosine_proximity(y_true, y_pred)
metric_hinge(y_true, y_pred)
metric_kullback_leibler_divergence(y_true, y_pred)
metric_mean_absolute_error(y_true, y_pred)
metric_mean_absolute_percentage_error(y_true, y_pred)
metric_mean_squared_error(y_true, y_pred)
metric_mean_squared_logarithmic_error(y_true, y_pred)
metric_poisson(y_true, y_pred)
metric_sparse_categorical_crossentropy(y_true, y_pred)
metric_squared_hinge(y_true, y_pred)
metric_top_k_categorical_accuracy(y_true, y_pred)

Arguments

y_true

True labels (tensor)

y_pred

Predictions (tensor of the same shape as y_true).