Package | Description |
---|---|
org.apache.ignite |
Contains entry-point Ignite & HPC APIs.
|
org.apache.ignite.binary |
Contains Ignite Binary Objects API classes.
|
org.apache.ignite.ml.dataset.feature.extractor.impl |
Package contains default implementations of
Vectorizer . |
org.apache.ignite.ml.recommendation |
Contains recommendation system framework.
|
org.apache.ignite.ml.recommendation.util |
Contains util classes used in recommendation system framework.
|
org.apache.ignite.ml.sql |
Contains util classes that help to work with machine learning models in SQL and train models on data from SQL tables.
|
Modifier and Type | Method and Description |
---|---|
BinaryObject |
IgniteBinary.buildEnum(String typeName,
int ord)
Create enum object using value.
|
BinaryObject |
IgniteBinary.buildEnum(String typeName,
String name)
Create enum object using name.
|
Modifier and Type | Method and Description |
---|---|
BinaryObjectBuilder |
IgniteBinary.builder(BinaryObject binaryObj)
Creates binary builder initialized by existing binary object.
|
Modifier and Type | Method and Description |
---|---|
BinaryObject |
BinaryObjectBuilder.build()
Builds binary object.
|
BinaryObject |
BinaryObject.clone()
Copies this binary object.
|
Modifier and Type | Method and Description |
---|---|
Collection<BinaryObject> |
BinaryType.enumValues() |
Modifier and Type | Method and Description |
---|---|
boolean |
BinaryField.exists(BinaryObject obj)
Check whether field exists in the object.
|
<T> T |
BinaryField.value(BinaryObject obj)
Get field's value from the given object.
|
Modifier and Type | Method and Description |
---|---|
protected List<String> |
BinaryObjectVectorizer.allCoords(K key,
BinaryObject value)
Returns list of all coordinate with feature values.
|
protected Double |
BinaryObjectVectorizer.feature(String coord,
K key,
BinaryObject value)
Extracts feature value by given coordinate.
|
Modifier and Type | Method and Description |
---|---|
RecommendationModel<Serializable,Serializable> |
RecommendationTrainer.fit(DatasetBuilder<Object,BinaryObject> datasetBuilder,
String objFieldName,
String subjFieldName,
String ratingFieldName)
Fits prediction model on a data stored in binary format.
|
RecommendationModel<Serializable,Serializable> |
RecommendationTrainer.update(DatasetBuilder<Object,BinaryObject> datasetBuilder,
String objFieldName,
String subjFieldName,
String ratingFieldName,
RecommendationModel<Serializable,Serializable> mdl)
Updates prediction model on a data stored in binary format.
|
Modifier and Type | Method and Description |
---|---|
RecommendationDatasetData<Serializable,Serializable> |
RecommendationBinaryDatasetDataBuilder.build(LearningEnvironment env,
Iterator<UpstreamEntry<Object,BinaryObject>> upstreamData,
long upstreamDataSize,
EmptyContext ctx)
Builds a new partition
data from a partition upstream data and partition context . |
Constructor and Description |
---|
SqlDatasetBuilder(Ignite ignite,
String upstreamCache,
IgniteBiPredicate<Object,BinaryObject> filter)
Constructs a new instance of cache based dataset builder that makes
CacheBasedDataset . |
SqlDatasetBuilder(Ignite ignite,
String upstreamCache,
IgniteBiPredicate<Object,BinaryObject> filter,
UpstreamTransformerBuilder transformerBuilder)
Constructs a new instance of cache based dataset builder that makes
CacheBasedDataset . |
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Ignite Database and Caching Platform : ver. 2.12.0 Release Date : January 10 2022