MultinomialLogisticRegression (Coral Project 0.1-SNAPSHOT API)

public final class MultinomialLogisticRegression
extends Object

Sample Multinomial Logistic Regression application.

Nested Classes
Modifier and Type	Class and Description
`static class`	`MultinomialLogisticRegression.ApplyGradient` DoFn class that applies the gradient to the model.
`static class`	`MultinomialLogisticRegression.CalculateGradient` Calculate Gradient.
`static class`	`MultinomialLogisticRegression.CombineFunction` Combine Function for two Double arrays.
`static class`	`MultinomialLogisticRegression.CombineFunctionForIterable` Combine Function for Iterable of gradients.
`static class`	`MultinomialLogisticRegression.UpdateModel` + Composite transform that wraps the transforms inside the loop.

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`main(String[] args)` Main function for the MLR BEAM program.

Class MultinomialLogisticRegression