experiments.perf_eval_funcs

Functions

MSE(y_pred, y, **kwargs)	Calculate sample mean squared error
binary_logistic_loss(y_pred, y, **kwargs)	Wrapper for sklearn's log_loss function.
deterministic_accuracy(y_pred, y, **kwargs)	The fraction of correct samples.
multiclass_accuracy(y_pred, y, **kwargs)	For multi-class classification.
multiclass_logistic_loss(y_pred, y, **kwargs)	Calculate average logistic loss over all data points for multi-class classification
probabilistic_accuracy(y_pred, y, **kwargs)	For binary classification only.