Developer Guide

Contents

Batch Processing

A regression stump follows the general workflow described in Usage Model: Training and Prediction.

Training

For a description of the input and output, refer to Usage Model: Training and Prediction.
At the training stage, a regression decision stump has the following parameters:
Parameter
Default Value
Description
algorithmFPType
float
The floating-point type that the algorithm uses for intermediate computations. Can be float or double.
method
defaultDense
Performance-oriented computation method, the only method supported by the algorithm.
varImportance
none
Variable importance computation is not supported for current version of the library.

Prediction

For a description of the input and output, refer to Usage Model: Training and Prediction.
At the prediction stage, a regression stump has the following parameters:
Parameter
Default Value
Description
algorithmFPType
float
The floating-point type that the algorithm uses for intermediate computations. Can be float or double.
method
defaultDense
Performance-oriented computation method, the only method supported by the algorithm.

Product and Performance Information

1

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Notice revision #20110804