Uses of Interface
org.apache.ignite.ml.dataset.DatasetBuilder

Packages that use DatasetBuilder

Package	Description
org.apache.ignite.ml.clustering.kmeans	Contains kMeans clustering algorithm.
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
org.apache.ignite.ml.dataset.impl.cache	Base package for cache based implementation of machine learning dataset.
org.apache.ignite.ml.dataset.impl.local	Base package for local implementation of machine learning dataset.
org.apache.ignite.ml.knn	Contains main APIs for kNN 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.math.isolve.lsqr	Contains LSQR algorithm implementation.
org.apache.ignite.ml.nn	Contains neural networks and related classes.
org.apache.ignite.ml.preprocessing	Base package for machine learning preprocessing classes.
org.apache.ignite.ml.preprocessing.normalization	Contains standardization preprocessor.
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.

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

Methods in org.apache.ignite.ml.clustering.kmeans with parameters of type DatasetBuilder

Modifier and Type	Method and Description
<K,V> KMeansModel	KMeansTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

Uses of DatasetBuilder in org.apache.ignite.ml.dataset

Methods in org.apache.ignite.ml.dataset with parameters of type DatasetBuilder

Modifier and Type	Method and Description
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V,C extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.
static <K,V,C extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(DatasetBuilder<K,V> datasetBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.

Uses of DatasetBuilder in org.apache.ignite.ml.dataset.impl.cache

Classes in org.apache.ignite.ml.dataset.impl.cache that implement DatasetBuilder

Modifier and Type	Class and Description
class	CacheBasedDatasetBuilder<K,V> A dataset builder that makes CacheBasedDataset.

Uses of DatasetBuilder in org.apache.ignite.ml.dataset.impl.local

Classes in org.apache.ignite.ml.dataset.impl.local that implement DatasetBuilder

Modifier and Type	Class and Description
class	LocalDatasetBuilder<K,V> A dataset builder that makes LocalDataset.

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

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

Modifier and Type	Method and Description
static <K,V> Dataset<EmptyContext,LabeledDataset<Double,LabeledVector>>	KNNUtils.buildDataset(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Builds dataset.

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

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

Modifier and Type	Method and Description
<K,V> KNNClassificationModel	KNNClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

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

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

Modifier and Type	Method and Description
<K,V> KNNRegressionModel	KNNRegressionTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

Uses of DatasetBuilder in org.apache.ignite.ml.math.isolve.lsqr

Constructors in org.apache.ignite.ml.math.isolve.lsqr with parameters of type DatasetBuilder

Constructor and Description
LSQROnHeap(DatasetBuilder<K,V> datasetBuilder, PartitionDataBuilder<K,V,LSQRPartitionContext,SimpleLabeledDatasetData> partDataBuilder) Constructs a new instance of OnHeap LSQR algorithm implementation.

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

Methods in org.apache.ignite.ml.nn with parameters of type DatasetBuilder

Modifier and Type	Method and Description
<K,V> MultilayerPerceptron	MLPTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,double[]> lbExtractor) Trains model based on the specified data.

Uses of DatasetBuilder in org.apache.ignite.ml.preprocessing

Methods in org.apache.ignite.ml.preprocessing with parameters of type DatasetBuilder

Modifier and Type	Method and Description
IgniteBiFunction<K,V,R>	PreprocessingTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.

Uses of DatasetBuilder in org.apache.ignite.ml.preprocessing.normalization

Methods in org.apache.ignite.ml.preprocessing.normalization with parameters of type DatasetBuilder

Modifier and Type	Method and Description
NormalizationPreprocessor<K,V>	NormalizationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> basePreprocessor) Fits preprocessor.

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

Methods in org.apache.ignite.ml.regressions.linear with parameters of type DatasetBuilder

Modifier and Type	Method and Description
<K,V> LinearRegressionModel	LinearRegressionSGDTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> LinearRegressionModel	LinearRegressionLSQRTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

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

Methods in org.apache.ignite.ml.svm with parameters of type DatasetBuilder

Modifier and Type	Method and Description
<K,V> SVMLinearMultiClassClassificationModel	SVMLinearMultiClassClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
<K,V> SVMLinearBinaryClassificationModel	SVMLinearBinaryClassificationTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.

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

Methods in org.apache.ignite.ml.trainers with parameters of type DatasetBuilder

Modifier and Type	Method and Description
<K,V> M	DatasetTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,double[]> featureExtractor, IgniteBiFunction<K,V,L> lbExtractor) Trains model based on the specified data.