Uses of Class
org.deeplearning4j.eval.BaseEvaluation

Packages that use BaseEvaluation

Package	Description
org.deeplearning4j.eval

Uses of BaseEvaluation in org.deeplearning4j.eval

Classes in org.deeplearning4j.eval with type parameters of type BaseEvaluation

Modifier and Type	Class and Description
class	BaseEvaluation<T extends BaseEvaluation> BaseEvaluation implement common evaluation functionality (for time series, etc) for Evaluation, RegressionEvaluation, ROC, ROCMultiClass etc.

Subclasses of BaseEvaluation in org.deeplearning4j.eval

Modifier and Type	Class and Description
class	Evaluation Evaluation metrics: precision, recall, f1
class	RegressionEvaluation Evaluation method for the evaluation of regression algorithms. Provides the following metrics, for each column: - MSE: mean squared error - MAE: mean absolute error - RMSE: root mean squared error - RSE: relative squared error - correlation coefficient See for example: http://www.saedsayad.com/model_evaluation_r.htm For classification, see Evaluation
class	ROC ROC (Receiver Operating Characteristic) for binary classifiers, using the specified number of threshold steps.
class	ROCMultiClass ROC (Receiver Operating Characteristic) for multi-class classifiers, using the specified number of threshold steps.