Uses of Class
org.tribuo.common.tree.impl.IntArrayContainer
Packages that use IntArrayContainer
Package
Description
Provides internal implementation classes for building decision trees.
Provides internal implementation classes for the regression trees.
Provides implementations of regression tree impurity metrics.
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Uses of IntArrayContainer in org.tribuo.common.tree.impl
Methods in org.tribuo.common.tree.impl with parameters of type IntArrayContainerModifier and TypeMethodDescriptionvoid
IntArrayContainer.fill
(IntArrayContainer other) Overwrites values in this array with the supplied array.static int[]
IntArrayContainer.merge
(List<int[]> input, IntArrayContainer firstBuffer, IntArrayContainer secondBuffer) Merges the list of int arrays into a single int array, using the two supplied buffers.static void
IntArrayContainer.merge
(IntArrayContainer input, int[] otherArray, IntArrayContainer output) Merges input and otherArray writing to output.static void
IntArrayContainer.removeOther
(IntArrayContainer input, int[] otherArray, IntArrayContainer output) Copies from input to output excluding the values in otherArray. -
Uses of IntArrayContainer in org.tribuo.regression.rtree.impl
Methods in org.tribuo.regression.rtree.impl with parameters of type IntArrayContainerModifier and TypeMethodDescriptioncom.oracle.labs.mlrg.olcut.util.Pair<InvertedFeature,
InvertedFeature> InvertedFeature.split
(IntArrayContainer allLeftIndices, IntArrayContainer buffer) Relies upon allLeftIndices being sorted in ascending order.com.oracle.labs.mlrg.olcut.util.Pair<TreeFeature,
TreeFeature> TreeFeature.split
(int[] leftIndices, int[] rightIndices, IntArrayContainer firstBuffer, IntArrayContainer secondBuffer) Splits this tree feature into two. -
Uses of IntArrayContainer in org.tribuo.regression.rtree.impurity
Methods in org.tribuo.regression.rtree.impurity with parameters of type IntArrayContainerModifier and TypeMethodDescriptiondefault double
RegressorImpurity.impurity
(IntArrayContainer indices, float[] targets, float[] weights) Calculates the weighted impurity of the targets specified in the indices container.