Developer Guide

Contents

Batch Processing

Training

For the description of the input and output, refer to Training and Prediction > Regression > Usage Model. In addition to the parameters of decision forest described in Classification and Regression > Decision Forest > Batch Processing, the decision forest regression training algorithm 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
The computation method used by the decision forest regression. The only training method supported so far is the default dense method.

Output

In addition to the output of regression described in Training and Prediction > Regression > Usage Model, decision forest regression calculates the result of decision forest. For more details, refer to Classification and Regression > Decision Forest > Batch Processing.

Prediction

For the description of the input and output, refer to Training and Prediction > Regression > Usage Model.
In addition to the parameters of regression, decision forest regression has the following parameters at the prediction stage:
Parameter
Default Value
Description
algorithmFPType
float
The floating-point type that the algorithm uses for intermediate computations. Can be
float
or
double
.
method
defaultDense
The computation method used by the decision forest regression. The only training method supported so far is the default dense method.

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804