Developer Guide

Contents

Batch Processing

A classification 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 classification 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.
splitCriterion
decision_tree::classification::gini
Split criteria for classification stump. Two split criterion are available:
  • decision_tree::classification::gini
  • decision_tree::classification::infoGain
See Classification Decision Tree chapter for details.
varImportance
none
Variable importance computation is not supported for current version of the library.
nClasses
2
The number of classes.

Prediction

For a description of the input and output, refer to Usage Model: Training and Prediction .
At the prediction stage, a classification 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.
nClasses
2
The number of classes.
resultsToEvaluate
Classifier:: computeClassLabels
The form of computed result:
  • classifier::computeClassLabels
    – the result contains the
    NumericTable
    of size
    n
    x 1 with predicted labels
  • classifier:: computeClassProbabilities
    – the result contains the
    NumericTable
    of size
    n
    x
    nClasses
    with probabilities to belong to each class

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