ml.metrics

fn absolute_error[T](y &vtl.Tensor[T], y_true &vtl.Tensor[T]) !&vtl.Tensor[T]

absolute_error exposes this operation as part of the public API.

fn accuracy_score[T](y_pred &vtl.Tensor[T], y_true &vtl.Tensor[T]) !f64

accuracy_score returns the proportion of correctly classified samples (as f64)

fn mean_absolute_error[T](y &vtl.Tensor[T], y_true &vtl.Tensor[T]) !T

mean_absolute_error exposes this operation as part of the public API.

fn mean_relative_error[T](y &vtl.Tensor[T], y_true &vtl.Tensor[T]) !T

mean_relative_error exposes this operation as part of the public API.

fn mean_squared_error[T](y &vtl.Tensor[T], y_true &vtl.Tensor[T]) !T

mean_squared_error exposes this operation as part of the public API.

fn relative_error[T](y &vtl.Tensor[T], y_true &vtl.Tensor[T]) !&vtl.Tensor[T]

relative_error exposes this operation as part of the public API.

fn squared_error[T](y &vtl.Tensor[T], y_true &vtl.Tensor[T]) !&vtl.Tensor[T]

squared_error exposes this operation as part of the public API.