Uses of Class
org.pepstock.charba.client.ml.RegressionScore

Packages that use RegressionScore

Package	Description
org.pepstock.charba.client.ml	Contains all classes to activate the ML library to use the regression capabilities.

Uses of RegressionScore in org.pepstock.charba.client.ml

Methods in org.pepstock.charba.client.ml that return RegressionScore

Modifier and Type	Method	Description
RegressionScore	IsRegression.score(List<Double> y)	Evaluates the regression formula if the model fits enough. X values are creating starting from 0 with increment of 1.
RegressionScore	IsRegression.score(List<Double> y, double starting)	Evaluates the regression formula if the model fits enough. X values are creating starting from passed argument with increment of 1.
RegressionScore	IsRegression.score(List<Double> y, double starting, double increment)	Evaluates the regression formula if the model fits enough. X values are creating starting from passed argument with increment of passed argument.
RegressionScore	IsRegression.score(List<Double> x, List<Double> y)	Evaluates the regression formula if the model fits enough.
RegressionScore	IsRegression.scoreByDataPoints(List<DataPoint> dataPoints)	Evaluates the regression formula if the model fits enough.
RegressionScore	IsRegression.scoreByDate(List<Date> x, List<Double> y)	Evaluates the regression formula if the model fits enough.
RegressionScore	IsRegression.scoreByTimeSeriesItems(List<TimeSeriesItem> items)	Evaluates the regression formula if the model fits enough.