| Class | Description |
|---|---|
| AlternatingLeastSquare |
Sample Alternating Least Square application.
|
| AlternatingLeastSquare.CalculateNextMatrix |
DoFn for calculating next matrix at each iteration.
|
| AlternatingLeastSquare.ParseLine |
Method for parsing the input line.
|
| AlternatingLeastSquare.TrainingDataCombiner |
Combiner for the training data.
|
| AlternatingLeastSquare.UngroupSingleVectorList |
A DoFn that relays a single vector list.
|
| AlternatingLeastSquare.UpdateUserAndItemMatrix |
Composite transform that wraps the transforms inside the loop.
|
| AlternatingLeastSquareInefficient |
Sample Alternating Least Square application.
|
| AlternatingLeastSquareInefficient.UpdateUserAndItemMatrix |
Composite transform that wraps the transforms inside the loop.
|
| Broadcast |
Sample Broadcast application.
|
| MapReduce |
Sample MapReduce application.
|
| MultinomialLogisticRegression |
Sample Multinomial Logistic Regression application.
|
| MultinomialLogisticRegression.ApplyGradient |
DoFn class that applies the gradient to the model.
|
| MultinomialLogisticRegression.CalculateGradient |
Calculate Gradient.
|
| MultinomialLogisticRegression.CombineFunction |
Combine Function for two Double arrays.
|
| MultinomialLogisticRegression.CombineFunctionForIterable |
Combine Function for Iterable of gradients.
|
| MultinomialLogisticRegression.UpdateModel |
+ Composite transform that wraps the transforms inside the loop.
|
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