Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4
Parameter of the decision tree regression algorithm. More...
long getMaxTreeDepth | ( | ) |
Returns the maximum tree depth. 0 means unlimited depth.
long getMinObservationsInLeafNodes | ( | ) |
Returns the minimum number of observations in the leaf node
PruningId getPruning | ( | ) |
Returns the pruning method for decision tree training algorithm
void setMaxTreeDepth | ( | long | value | ) |
Sets the maximum tree depth, 0 means unlimited depth
value | Maximum tree depth |
void setMinObservationsInLeafNodes | ( | long | value | ) |
Sets the minimum number of observations in the leaf node
value | Minimum number of observations in the leaf node |
void setPruning | ( | PruningId | value | ) |
Sets the pruning method for decision tree training algorithm
value | Pruning method for decision tree |
For more complete information about compiler optimizations, see our Optimization Notice.