Uses of Class
org.apache.ignite.ml.knn.NNClassificationModel

Packages that use NNClassificationModel

Package	Description
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.

Uses of NNClassificationModel in org.apache.ignite.ml.knn

Methods in org.apache.ignite.ml.knn that return NNClassificationModel

Modifier and Type	Method and Description
NNClassificationModel	NNClassificationModel.withDistanceMeasure(DistanceMeasure distanceMeasure) Set up parameter of the NN model.
NNClassificationModel	NNClassificationModel.withK(int k) Set up parameter of the NN model.
NNClassificationModel	NNClassificationModel.withStrategy(NNStrategy stgy) Set up parameter of the NN model.

Methods in org.apache.ignite.ml.knn with parameters of type NNClassificationModel

Modifier and Type	Method and Description
protected void	NNClassificationModel.copyParametersFrom(NNClassificationModel mdl) Sets parameters from other model to this model.

Uses of NNClassificationModel in org.apache.ignite.ml.knn.ann

Subclasses of NNClassificationModel in org.apache.ignite.ml.knn.ann

Modifier and Type	Class and Description
class	ANNClassificationModel ANN model to predict labels in multi-class classification task.

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

Subclasses of NNClassificationModel in org.apache.ignite.ml.knn.classification

Modifier and Type	Class and Description
class	KNNClassificationModel kNN algorithm model to solve multi-class classification task.

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

Subclasses of NNClassificationModel in org.apache.ignite.ml.knn.regression

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