regression
fun <T, M : Regression<T>> regression(x: Array<T>, y: DoubleArray, trainer: (Array<T>, DoubleArray) -> M): RegressionMetrics(source)
Leave-one-out cross validation on a generic regression model.
Return
metric scores.
Parameters
x
data samples.
y
response variable.
trainer
a lambda to return a regression model trained on the given data.
fun regression(formula: Formula, data: DataFrame, trainer: (Formula, DataFrame) -> DataFrameRegression): RegressionMetrics(source)
Leave-one-out cross validation on a data frame regression model.
Return
metric scores.
Parameters
formula
model formula.
data
data samples.
trainer
a lambda to return a regression model trained on the given data.