Package | Description |
---|---|
org.apache.ignite.ml.clustering.gmm |
Contains Gauss Mixture Model clustering algorithm (see
GmmModel ). |
org.apache.ignite.ml.clustering.kmeans |
Contains kMeans clustering algorithm.
|
org.apache.ignite.ml.knn |
Contains main APIs for kNN algorithms.
|
org.apache.ignite.ml.knn.ann |
Contains main APIs for ANN classification algorithms.
|
org.apache.ignite.ml.knn.classification |
Contains main APIs for kNN classification algorithms.
|
org.apache.ignite.ml.knn.regression |
Contains helper classes for kNN regression algorithms.
|
org.apache.ignite.ml.multiclass |
Contains various multi-classifier models and trainers.
|
org.apache.ignite.ml.naivebayes.discrete |
Contains Bernoulli naive Bayes classifier.
|
org.apache.ignite.ml.naivebayes.gaussian |
Contains Gaussian naive Bayes classifier.
|
org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
|
org.apache.ignite.ml.regressions.logistic |
Contains various logistic regressions.
|
org.apache.ignite.ml.svm |
Contains main APIs for SVM(support vector machines) algorithms.
|
org.apache.ignite.ml.tree |
Root package for decision trees.
|
org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
|
Modifier and Type | Class and Description |
---|---|
class |
GmmTrainer
Traner for GMM model.
|
Modifier and Type | Class and Description |
---|---|
class |
KMeansTrainer
The trainer for KMeans algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
KNNTrainer<M extends KNNModel<Double>,Self extends KNNTrainer<M,Self>>
KNN model trader that trains model on top of distribtued spatial indices.
|
Modifier and Type | Class and Description |
---|---|
class |
ANNClassificationTrainer
ANN algorithm trainer to solve multi-class classification task.
|
Modifier and Type | Class and Description |
---|---|
class |
KNNClassificationTrainer
KNN classification model trader that trains model on top of distribtued spatial indices.
|
Modifier and Type | Class and Description |
---|---|
class |
KNNRegressionTrainer
KNN regression model trader that trains model on top of distribtued spatial indices.
|
Modifier and Type | Class and Description |
---|---|
class |
OneVsRestTrainer<M extends IgniteModel<Vector,Double>>
This is a common heuristic trainer for multi-class labeled models.
|
Constructor and Description |
---|
OneVsRestTrainer(SingleLabelDatasetTrainer<M> classifier) |
Modifier and Type | Class and Description |
---|---|
class |
DiscreteNaiveBayesTrainer
Trainer for the Discrete naive Bayes classification model.
|
Modifier and Type | Class and Description |
---|---|
class |
GaussianNaiveBayesTrainer
Trainer for the naive Bayes classification model.
|
Modifier and Type | Class and Description |
---|---|
class |
LinearRegressionLSQRTrainer
Trainer of the linear regression model based on LSQR algorithm.
|
class |
LinearRegressionSGDTrainer<P extends Serializable>
Trainer of the linear regression model based on stochastic gradient descent algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
LogisticRegressionSGDTrainer
Trainer of the logistic regression model based on stochastic gradient descent algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
SVMLinearClassificationTrainer
Base class for a soft-margin SVM linear classification trainer based on the communication-efficient distributed dual
coordinate ascent algorithm (CoCoA) with hinge-loss function.
|
Modifier and Type | Class and Description |
---|---|
class |
DecisionTree<T extends ImpurityMeasure<T>>
Distributed decision tree trainer that allows to fit trees using row-partitioned dataset.
|
class |
DecisionTreeClassificationTrainer
Decision tree classifier based on distributed decision tree trainer that allows to fit trees using row-partitioned
dataset.
|
class |
DecisionTreeRegressionTrainer
Decision tree regressor based on distributed decision tree trainer that allows to fit trees using row-partitioned
dataset.
|
Modifier and Type | Class and Description |
---|---|
class |
RandomForestClassifierTrainer
Classifier trainer based on RandomForest algorithm.
|
class |
RandomForestRegressionTrainer
Regression trainer based on RandomForest algorithm.
|
class |
RandomForestTrainer<L,S extends ImpurityComputer<BootstrappedVector,S>,T extends RandomForestTrainer<L,S,T>>
Class represents a realization of Random Forest algorithm.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024