Package org.apache.nemo.examples.beam
Class MultinomialLogisticRegression
- java.lang.Object
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- org.apache.nemo.examples.beam.MultinomialLogisticRegression
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public final class MultinomialLogisticRegression extends java.lang.Object
Sample Multinomial Logistic Regression application.
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Nested Class Summary
Nested Classes Modifier and Type Class 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.
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static void
main(java.lang.String[] args)
Main function for the MLR BEAM program.
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