C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Decision tree algorithm parameters. More...
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inline |
Main constructor
[in] | nClasses | Number of classes |
services::Status check | ( | ) | const |
Checks a parameter of the Decision tree algorithm
size_t maxTreeDepth |
Maximum tree depth. 0 means unlimited depth.
size_t minObservationsInLeafNodes |
Minimum number of observations in the leaf node. Can be any positive number.
size_t nBins |
The number of bins used to compute probabilities of the observations belonging to the class. The only supported value for current version of the library is 1.
Pruning pruning |
Pruning method for Decision tree
SplitCriterion splitCriterion |
Split criterion for Decision tree classification
For more complete information about compiler optimizations, see our Optimization Notice.