Package | Description |
---|---|
org.apache.ignite.ml.naivebayes.compound |
Contains Compound naive Bayes classifier.
|
org.apache.ignite.ml.naivebayes.discrete |
Contains Bernoulli naive Bayes classifier.
|
Modifier and Type | Method and Description |
---|---|
DiscreteNaiveBayesModel |
CompoundNaiveBayesModel.getDiscreteModel()
Returns a discrete model.
|
Modifier and Type | Method and Description |
---|---|
CompoundNaiveBayesModel |
CompoundNaiveBayesModel.withDiscreteModel(DiscreteNaiveBayesModel discreteModel)
Sets a discrete model.
|
Modifier and Type | Method and Description |
---|---|
<K,V> DiscreteNaiveBayesModel |
DiscreteNaiveBayesTrainer.fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains model based on the specified data.
|
static DiscreteNaiveBayesModel |
DiscreteNaiveBayesModel.fromJSON(Path path)
Loads DiscreteNaiveBayesModel from JSON file.
|
protected <K,V> DiscreteNaiveBayesModel |
DiscreteNaiveBayesTrainer.updateModel(DiscreteNaiveBayesModel mdl,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Gets state of model in arguments, update in according to new data and return new model.
|
Modifier and Type | Method and Description |
---|---|
boolean |
DiscreteNaiveBayesTrainer.isUpdateable(DiscreteNaiveBayesModel mdl) |
protected <K,V> DiscreteNaiveBayesModel |
DiscreteNaiveBayesTrainer.updateModel(DiscreteNaiveBayesModel mdl,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Gets state of model in arguments, update in according to new data and return new model.
|
Modifier and Type | Method and Description |
---|---|
<P> void |
DiscreteNaiveBayesModel.saveModel(Exporter<DiscreteNaiveBayesModel,P> exporter,
P path)
Save model by the given path.
|
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Ignite Database and Caching Platform : ver. 2.11.0 Release Date : September 11 2021