Uses of Interface
jsat.regression.evaluation.RegressionScore

Packages that use RegressionScore

Package	Description
jsat.parameters
jsat.regression
jsat.regression.evaluation

Uses of RegressionScore in jsat.parameters

Fields in jsat.parameters declared as RegressionScore

Modifier and Type	Field and Description
protected RegressionScore	ModelSearch.regressionTargetScore

Methods in jsat.parameters that return RegressionScore

Modifier and Type	Method and Description
RegressionScore	ModelSearch.getRegressionTargetScore() Returns the regression score that is trying to be optimized via grid search

Methods in jsat.parameters with parameters of type RegressionScore

Modifier and Type	Method and Description
void	ModelSearch.setRegressionTargetScore(RegressionScore regressionTargetScore) Sets the score to attempt to optimize when performing grid search on a regression problem.

Uses of RegressionScore in jsat.regression

Methods in jsat.regression with parameters of type RegressionScore

Modifier and Type	Method and Description
void	RegressionModelEvaluation.addScorer(RegressionScore scorer) Adds a new score object that will be used as part of the evaluation when calling RegressionModelEvaluation.evaluateCrossValidation(int, java.util.Random) or RegressionModelEvaluation.evaluateTestSet(jsat.regression.RegressionDataSet).
OnLineStatistics	RegressionModelEvaluation.getScoreStats(RegressionScore score) Gets the statistics associated with the given score.

Uses of RegressionScore in jsat.regression.evaluation

Classes in jsat.regression.evaluation that implement RegressionScore

Modifier and Type	Class and Description
class	CoefficientOfDetermination Uses the Coefficient of Determination, also known as R2, is an evaluation score in [0,1].
class	MeanAbsoluteError Uses the Mean of Absolute Errors between the predictions and the true values.
class	MeanSquaredError Uses the Mean of the Squared Errors between the predictions and the true values.
class	RelativeAbsoluteError Uses the Sum of Absolute Errors divided by the sum of the absolute value of the true values subtracted from their mean.
class	RelativeSquaredError Uses the Sum of Squared Errors divided by the sum of the squared true values subtracted from their mean.
class	TotalHistoryRegressionScore This abstract class provides the work for maintaining the history of predictions and their true values.

Methods in jsat.regression.evaluation that return RegressionScore

Modifier and Type	Method and Description
RegressionScore	RegressionScore.clone()

Methods in jsat.regression.evaluation with parameters of type RegressionScore

Modifier and Type	Method and Description
void	TotalHistoryRegressionScore.addResults(RegressionScore other)
void	RegressionScore.addResults(RegressionScore other) The score contained in this object is augmented with the results already accumulated in the other object.
void	MeanSquaredError.addResults(RegressionScore other)
void	MeanAbsoluteError.addResults(RegressionScore other)