Uses of Class
org.pepstock.charba.client.ml.RegressionScore
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Packages that use RegressionScore Package Description org.pepstock.charba.client.ml Contains all classes to activate the ML library to use the regression capabilities. -
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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.
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