Package | Description |
---|---|
org.apache.ignite.ml.tree.data |
Contains data and data builder required for decision tree trainers built on top of partition based dataset.
|
org.apache.ignite.ml.tree.impurity |
Root package for decision tree impurity measures and calculators.
|
Modifier and Type | Method and Description |
---|---|
TreeDataIndex |
DecisionTreeData.createIndexByFilter(int depth,
TreeFilter filter)
Builds index in according to current tree depth and cached indexes in upper levels.
|
TreeDataIndex |
TreeDataIndex.filter(TreeFilter filter)
Creates projection of current index in according to
TreeFilter . |
Modifier and Type | Method and Description |
---|---|
protected int |
ImpurityMeasureCalculator.columnsCount(DecisionTreeData data,
TreeDataIndex idx)
Returns columns count in current dataset.
|
protected double |
ImpurityMeasureCalculator.getFeatureValue(DecisionTreeData data,
TreeDataIndex idx,
int featureId,
int k)
Returns feature value in according to kth order statistic.
|
protected Vector |
ImpurityMeasureCalculator.getFeatureValues(DecisionTreeData data,
TreeDataIndex idx,
int featureId,
int k)
Returns feature value in according to kth order statistic.
|
protected double |
ImpurityMeasureCalculator.getLabelValue(DecisionTreeData data,
TreeDataIndex idx,
int featureId,
int k)
Returns label value in according to kth order statistic.
|
protected int |
ImpurityMeasureCalculator.rowsCount(DecisionTreeData data,
TreeDataIndex idx)
Returns rows count in current dataset.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024