Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

Classes

Contains classes for multinomial naive Bayes models training.

Classes

class  TrainingBatch
 Algorithm class for training naive Bayes model in the batch processing mode. More...
 
class  TrainingDistributedInput
 Input objects of the naive Bayes model training algorithm in the distributed computing mode. More...
 
class  TrainingDistributedInputId
 Available identifiers of input objects of the classifier model training algorithm. More...
 
class  TrainingDistributedStep1Local
 Algorithm class for training naive Bayes model on the first step in the distributed processing mode. More...
 
class  TrainingDistributedStep2Master
 Algorithm class for training naive Bayes model on the second step in the distributed processing mode. More...
 
class  TrainingMethod
 Available methods for computing the naive Bayes training results. More...
 
class  TrainingOnline
 Algorithm class for training naive Bayes model in the online processing mode. More...
 
class  TrainingPartialResult
 Provides methods to access results obtained with the compute() method of the naive Bayes training algorithm in the online or distributed processing mode. More...
 
class  TrainingResult
 Provides methods to access final results obtained with the compute() method of the naive Bayes training algorithm in the batch processing mode and with the finalizeCompute() method in the online and distributed processing mode. More...
 

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