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