Package | Description |
---|---|
org.apache.ignite.ml.composition.combinators.sequential |
Contains sequential combinators of trainers and models.
|
org.apache.ignite.ml.dataset.feature.extractor |
Package for upstream object vectorizations.
|
org.apache.ignite.ml.dataset.feature.extractor.impl |
Package contains default implementations of
Vectorizer . |
org.apache.ignite.ml.dataset.impl.bootstrapping |
Base package for bootstrapped implementation of machine learning dataset.
|
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.utils |
Contains util functionality for kNN algorithms.
|
org.apache.ignite.ml.knn.utils.indices |
Contains utils functionality for indices in kNN algorithms.
|
org.apache.ignite.ml.math.primitives.vector |
Contains vector related classes.
|
org.apache.ignite.ml.preprocessing |
Base package for machine learning preprocessing classes.
|
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.
|
org.apache.ignite.ml.structures |
Contains some internal utility structures.
|
org.apache.ignite.ml.structures.partition |
Contains internal APIs for dataset partitioned labeled datasets.
|
org.apache.ignite.ml.structures.preprocessing |
Contains internal APIs for dataset pre-processing.
|
org.apache.ignite.ml.trainers |
Contains model trainers.
|
org.apache.ignite.ml.util.generators |
Contains utility classes for data streams generation.
|
org.apache.ignite.ml.util.generators.standard |
Contains classes for predefined data stream generators.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
DatasetRow
Class to keep one observation in dataset.
|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
LabeledVectorSet
The set of labeled vectors used in local partition calculations.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
LabeledVectorSet
The set of labeled vectors used in local partition calculations.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
LabeledVectorSet
The set of labeled vectors used in local partition calculations.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
Dataset
Class for set of vectors.
|
DatasetRow
Class to keep one observation in dataset.
|
FeatureMetadata
Class for feature metadata.
|
LabeledVector
Class for vector with label.
|
LabeledVectorSet
The set of labeled vectors used in local partition calculations.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
LabeledVectorSet
The set of labeled vectors used in local partition calculations.
|
Class and Description |
---|
LabeledVectorSet
The set of labeled vectors used in local partition calculations.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
Class and Description |
---|
LabeledVector
Class for vector with label.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024