Package deepnetts.eval

Evaluation procedures for machine learning models, used to estimate how good models are performing when given new data that (that was not used for training).

See: Description

Class Summary

Class	Description
ClassificationMetrics	Various metrics that tell us how good is a classifier.
ClassificationMetrics.Stats	Average values of commonly used classification metrics.
ClassifierEvaluator	Evaluation method for binary and multi-class classifiers.
ConfusionMatrix	Confusion matrix contains raw classifier evaluation results.
Evaluators	Utility methods for evaluating machine learning models.
RegresionEvaluator	Evaluates regressor neural network for specified data set.
RegressionMetrics	Common metrics for regression models.
RootMeanSquaredError	A measure of error for regression tasks.

Package deepnetts.eval Description

Evaluation procedures for machine learning models, used to estimate how good models are performing when given new data that (that was not used for training).