Package | Description |
---|---|
org.apache.ignite.ml.dataset.feature |
Package for helper classes over features such as
ObjectHistogram or
FeatureMeta . |
org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
|
org.apache.ignite.ml.tree.randomforest.data.impurity.basic |
Contains implementation of basic classes for impurity computers.
|
org.apache.ignite.ml.tree.randomforest.data.statistics |
Contains implementation of statistics computers for Random Forest.
|
Modifier and Type | Method and Description |
---|---|
abstract ObjectHistogram<T> |
ObjectHistogram.newInstance()
Creates an instance of ObjectHistogram from child class.
|
ObjectHistogram<T> |
ObjectHistogram.plus(ObjectHistogram<T> other) |
Modifier and Type | Method and Description |
---|---|
boolean |
ObjectHistogram.isEqualTo(ObjectHistogram<T> other)
Compares histogram with other and returns true if they are equals
|
ObjectHistogram<T> |
ObjectHistogram.plus(ObjectHistogram<T> other) |
Modifier and Type | Method and Description |
---|---|
protected LeafValuesComputer<ObjectHistogram<BootstrappedVector>> |
RandomForestClassifierTrainer.createLeafStatisticsAggregator()
Creates an instance of Leaf Statistics Aggregator corresponding to RF implementation.
|
Modifier and Type | Class and Description |
---|---|
class |
BootstrappedVectorsHistogram
Histogram for bootstrapped vectors with predefined bucket mapping logic for feature id == featureId.
|
class |
CountersHistogram
Represents a historam of element counts per bucket.
|
Modifier and Type | Method and Description |
---|---|
ObjectHistogram<BootstrappedVector> |
CountersHistogram.newInstance()
Creates an instance of ObjectHistogram from child class.
|
Modifier and Type | Method and Description |
---|---|
protected ObjectHistogram<BootstrappedVector> |
ClassifierLeafValuesComputer.createLeafStatsAggregator(int sampleId)
Creates an instance of leaf statistics aggregator in according to concrete algorithm based on RandomForest.
|
protected ObjectHistogram<BootstrappedVector> |
ClassifierLeafValuesComputer.mergeLeafStats(ObjectHistogram<BootstrappedVector> leftStats,
ObjectHistogram<BootstrappedVector> rightStats)
Merge statistics for same leafs.
|
Modifier and Type | Method and Description |
---|---|
protected void |
ClassifierLeafValuesComputer.addElementToLeafStatistic(ObjectHistogram<BootstrappedVector> leafStatAggr,
BootstrappedVector vec,
int sampleId)
Save vector to leaf statistic.
|
protected double |
ClassifierLeafValuesComputer.computeLeafValue(ObjectHistogram<BootstrappedVector> stat)
Returns the most frequent value in according to statistic.
|
protected ObjectHistogram<BootstrappedVector> |
ClassifierLeafValuesComputer.mergeLeafStats(ObjectHistogram<BootstrappedVector> leftStats,
ObjectHistogram<BootstrappedVector> rightStats)
Merge statistics for same leafs.
|
protected ObjectHistogram<BootstrappedVector> |
ClassifierLeafValuesComputer.mergeLeafStats(ObjectHistogram<BootstrappedVector> leftStats,
ObjectHistogram<BootstrappedVector> rightStats)
Merge statistics for same leafs.
|
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024