Uses of Interface
org.apache.ignite.ml.Model

Packages that use Model

Package	Description
org.apache.ignite.ml	Root ML package.
org.apache.ignite.ml.clustering.kmeans	Contains kMeans clustering algorithm.
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.nn	Contains neural networks and related classes.
org.apache.ignite.ml.optimization	Contains implementations of optimization algorithms and related classes.
org.apache.ignite.ml.regressions.linear	Contains various linear regressions.
org.apache.ignite.ml.svm	Contains main APIs for SVM(support vector machines) algorithms.
org.apache.ignite.ml.trainers	Contains model trainers.
org.apache.ignite.ml.tree	Root package for decision trees.

Uses of Model in org.apache.ignite.ml

Methods in org.apache.ignite.ml that return Model

Modifier and Type	Method and Description
default <X,W> Model<T,X>	Model.combine(Model<T,W> other, BiFunction<V,W,X> combiner) Combines this model with other model via specified combiner

Methods in org.apache.ignite.ml with parameters of type Model

Modifier and Type	Method and Description
default <X,W> Model<T,X>	Model.combine(Model<T,W> other, BiFunction<V,W,X> combiner) Combines this model with other model via specified combiner

Uses of Model in org.apache.ignite.ml.clustering.kmeans

Classes in org.apache.ignite.ml.clustering.kmeans with type parameters of type Model

Modifier and Type	Interface and Description
interface	Clusterer<P,M extends Model> Base interface for clusterers.

Subinterfaces of Model in org.apache.ignite.ml.clustering.kmeans

Modifier and Type	Interface and Description
interface	ClusterizationModel<P,V> Base interface for all clusterization models.

Classes in org.apache.ignite.ml.clustering.kmeans that implement Model

Modifier and Type	Class and Description
class	KMeansModel This class encapsulates result of clusterization by KMeans algorithm.

Uses of Model in org.apache.ignite.ml.knn.classification

Classes in org.apache.ignite.ml.knn.classification that implement Model

Modifier and Type	Class and Description
class	KNNClassificationModel<K,V> kNN algorithm model to solve multi-class classification task.

Uses of Model in org.apache.ignite.ml.knn.regression

Classes in org.apache.ignite.ml.knn.regression that implement Model

Modifier and Type	Class and Description
class	KNNRegressionModel<K,V> This class provides kNN Multiple Linear Regression or Locally [weighted] regression (Simple and Weighted versions).

Uses of Model in org.apache.ignite.ml.nn

Classes in org.apache.ignite.ml.nn that implement Model

Modifier and Type	Class and Description
class	MultilayerPerceptron Class encapsulating logic of multilayer perceptron.

Uses of Model in org.apache.ignite.ml.optimization

Subinterfaces of Model in org.apache.ignite.ml.optimization

Modifier and Type	Interface and Description
interface	SmoothParametrized<M extends Parametrized<M>> Interface for models which are smooth functions of their parameters.

Uses of Model in org.apache.ignite.ml.regressions.linear

Classes in org.apache.ignite.ml.regressions.linear that implement Model

Modifier and Type	Class and Description
class	LinearRegressionModel Simple linear regression model which predicts result value Y as a linear combination of input variables: Y = weights * X + intercept.

Uses of Model in org.apache.ignite.ml.svm

Classes in org.apache.ignite.ml.svm that implement Model

Modifier and Type	Class and Description
class	SVMLinearBinaryClassificationModel Base class for SVM linear classification model.
class	SVMLinearMultiClassClassificationModel Base class for multi-classification model for set of SVM classifiers.

Uses of Model in org.apache.ignite.ml.trainers

Classes in org.apache.ignite.ml.trainers with type parameters of type Model

Modifier and Type	Interface and Description
interface	DatasetTrainer<M extends Model,L> Interface for trainers.
interface	MultiLabelDatasetTrainer<M extends Model> Interface for trainers that trains on dataset with multiple label per object.
interface	SingleLabelDatasetTrainer<M extends Model> Interface for trainers that trains on dataset with singe label per object.

Uses of Model in org.apache.ignite.ml.tree

Subinterfaces of Model in org.apache.ignite.ml.tree

Modifier and Type	Interface and Description
interface	DecisionTreeNode Base interface for decision tree nodes.

Classes in org.apache.ignite.ml.tree that implement Model

Modifier and Type	Class and Description
class	DecisionTreeConditionalNode Decision tree conditional (non-leaf) node.
class	DecisionTreeLeafNode Decision tree leaf node which contains value.