Java* API Reference for Intel® Data Analytics Acceleration Library 2019

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Parameter of the decision tree regression algorithm. More...

Detailed Description

Member Function Documentation

long getMaxTreeDepth ( )

Returns the maximum tree depth. 0 means unlimited depth.

Returns
Maximum tree depth
long getMinObservationsInLeafNodes ( )

Returns the minimum number of observations in the leaf node

Returns
Minimum number of observations in the leaf node
PruningId getPruning ( )

Returns the pruning method for decision tree training algorithm

Returns
Pruning method for decision tree
void setMaxTreeDepth ( long  value)

Sets the maximum tree depth, 0 means unlimited depth

Parameters
valueMaximum tree depth
void setMinObservationsInLeafNodes ( long  value)

Sets the minimum number of observations in the leaf node

Parameters
valueMinimum number of observations in the leaf node
void setPruning ( PruningId  value)

Sets the pruning method for decision tree training algorithm

Parameters
valuePruning method for decision tree

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