Uses of Interface
org.apache.ignite.ml.environment.deploy.DeployableObject

Packages that use DeployableObject

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.composition	Contains classes for ensemble of models implementation.
org.apache.ignite.ml.composition.bagging	Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and return a bagged version of them.
org.apache.ignite.ml.composition.boosting	Contains Gradient Boosting regression and classification abstract classes allowing regressor type selecting in child classes.
org.apache.ignite.ml.dataset.feature.extractor.impl	Package contains default implementations of Vectorizer.
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.pipeline	Contains Pipeline API.
org.apache.ignite.ml.preprocessing.binarization	Contains binarization preprocessor.
org.apache.ignite.ml.preprocessing.developer	Contains Developer API preprocessors.
org.apache.ignite.ml.preprocessing.encoding.onehotencoder	Contains one hot encoding preprocessor.
org.apache.ignite.ml.preprocessing.encoding.stringencoder	Contains string encoding preprocessor.
org.apache.ignite.ml.preprocessing.imputing	Contains Imputer preprocessor.
org.apache.ignite.ml.preprocessing.maxabsscaling	Contains Max Abs Scaler preprocessor.
org.apache.ignite.ml.preprocessing.minmaxscaling	Contains Min Max Scaler preprocessor.
org.apache.ignite.ml.preprocessing.normalization	Contains Normalizer preprocessor.
org.apache.ignite.ml.preprocessing.standardscaling	Contains Standard scaler preprocessor.

Uses of DeployableObject in org.apache.ignite.ml.clustering.gmm

Classes in org.apache.ignite.ml.clustering.gmm that implement DeployableObject

Modifier and Type	Class and Description
class	GmmModel Gaussian Mixture Model.

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

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

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

Uses of DeployableObject in org.apache.ignite.ml.composition

Classes in org.apache.ignite.ml.composition that implement DeployableObject

Modifier and Type	Class and Description
class	ModelsComposition Model consisting of several models and prediction aggregation strategy.

Uses of DeployableObject in org.apache.ignite.ml.composition.bagging

Classes in org.apache.ignite.ml.composition.bagging that implement DeployableObject

Modifier and Type	Class and Description
class	BaggedModel This class represents model produced by BaggedTrainer.

Uses of DeployableObject in org.apache.ignite.ml.composition.boosting

Classes in org.apache.ignite.ml.composition.boosting that implement DeployableObject

Modifier and Type	Class and Description
static class	GDBTrainer.GDBModel GDB model.

Uses of DeployableObject in org.apache.ignite.ml.dataset.feature.extractor.impl

Classes in org.apache.ignite.ml.dataset.feature.extractor.impl that implement DeployableObject

Modifier and Type	Class and Description
class	BinaryObjectVectorizer<K> Vectorizer on binary objects.
class	DoubleArrayVectorizer<K> Vectorizer on arrays of doubles.
class	DummyVectorizer<K> Vectorizer on Vector.
class	LabeledDummyVectorizer<K,L> Vectorizer on LabeledVector.

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

Classes in org.apache.ignite.ml.knn that implement DeployableObject

Modifier and Type	Class and Description
class	NNClassificationModel Common methods and fields for all kNN and aNN models to predict label based on neighbours' labels.

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

Classes in org.apache.ignite.ml.knn.ann that implement DeployableObject

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

Uses of DeployableObject in org.apache.ignite.ml.pipeline

Classes in org.apache.ignite.ml.pipeline that implement DeployableObject

Modifier and Type	Class and Description
class	PipelineMdl<K,V> Wraps the model produced by Pipeline.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.binarization

Classes in org.apache.ignite.ml.preprocessing.binarization that implement DeployableObject

Modifier and Type	Class and Description
class	BinarizationPreprocessor<K,V> Preprocessing function that makes binarization.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.developer

Classes in org.apache.ignite.ml.preprocessing.developer that implement DeployableObject

Modifier and Type	Class and Description
class	MappedPreprocessor<K,V,L0,L1> Mapped Preprocessor.
class	PatchedPreprocessor<K,V,L1,L2> Preprocessing function that makes binarization.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.encoding.onehotencoder

Classes in org.apache.ignite.ml.preprocessing.encoding.onehotencoder that implement DeployableObject

Modifier and Type	Class and Description
class	OneHotEncoderPreprocessor<K,V> Preprocessing function that makes one-hot encoding.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.encoding.stringencoder

Classes in org.apache.ignite.ml.preprocessing.encoding.stringencoder that implement DeployableObject

Modifier and Type	Class and Description
class	StringEncoderPreprocessor<K,V> Preprocessing function that makes String encoding.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.imputing

Classes in org.apache.ignite.ml.preprocessing.imputing that implement DeployableObject

Modifier and Type	Class and Description
class	ImputerPreprocessor<K,V> Preprocessing function that makes imputing.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.maxabsscaling

Classes in org.apache.ignite.ml.preprocessing.maxabsscaling that implement DeployableObject

Modifier and Type	Class and Description
class	MaxAbsScalerPreprocessor<K,V> The preprocessing function that makes maxabsscaling, transforms features to the scale [-1,+1].

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.minmaxscaling

Classes in org.apache.ignite.ml.preprocessing.minmaxscaling that implement DeployableObject

Modifier and Type	Class and Description
class	MinMaxScalerPreprocessor<K,V> Preprocessing function that makes minmaxscaling.

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

Classes in org.apache.ignite.ml.preprocessing.normalization that implement DeployableObject

Modifier and Type	Class and Description
class	NormalizationPreprocessor<K,V> Preprocessing function that makes normalization.

Uses of DeployableObject in org.apache.ignite.ml.preprocessing.standardscaling

Classes in org.apache.ignite.ml.preprocessing.standardscaling that implement DeployableObject

Modifier and Type	Class and Description
class	StandardScalerPreprocessor<K,V> The preprocessing function that makes standard scaling, transforms features to make mean equal to 0 and variance equal to 1.