snn.metrics

Classification

snn.metrics.accuracy(y_pred, y_true)

Classification accuracy.

snn.metrics.binary_accuracy(y_pred, y_true, threshold=0.5)

snn.metrics.categorical_accuracy(y_pred, y_true)

snn.metrics.sparse_categorical_accuracy(y_pred, y_true)

snn.metrics.top_k_accuracy(y_pred, y_true, k=5)

snn.metrics.precision(y_pred, y_true, threshold=0.5)

snn.metrics.recall(y_pred, y_true, threshold=0.5)

snn.metrics.f1_score(y_pred, y_true, threshold=0.5)

snn.metrics.confusion_matrix(y_pred, y_true, n_classes=None)

Regression

snn.metrics.mean_squared_error(y_pred, y_true)

snn.metrics.mean_absolute_error(y_pred, y_true)

snn.metrics.r2_score(y_pred, y_true)

Factory

snn.metrics.get(identifier)