Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

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Provides methods for logistic regression model-based training in the batch processing mode. More...

Class Constructor

TrainingBatch ( DaalContext  context,
TrainingBatch  other 
)

Constructs a logistic regression training algorithm by copying input objects and parameters of another logistic regression training algorithm in the batch processing mode

Parameters
contextContext to manage logistic regression model-based training
otherAlgorithm to use as the source to initialize the input objects and parameters of the algorithm
TrainingBatch ( DaalContext  context,
Class<?extends Number >  cls,
TrainingMethod  method,
long  nClasses 
)

Constructs the logistic regression training algorithm in the batch processing mode

Parameters
contextContext to manage logistic regression model-based training
clsData type to use in intermediate computations of logistic regression, Double.class or Float.class
methodAlgorithm computation method, TrainingMethod
nClassesNumber of classes

Detailed Description

References

Member Function Documentation

TrainingBatch clone ( DaalContext  context)

Returns a newly allocated logistic regression training algorithm with a copy of the input objects and parameters of this logistic regression training algorithm in the batch processing mode

Parameters
contextContext to manage logistic regression model-based training
Returns
Newly allocated algorithm
TrainingResult compute ( )

Computes the result of logistic regression model-based training in the batch processing mode

Returns
Result of logistic regression model-based training

Member Data Documentation

Training method for the algorithm

TrainingParameter parameter

Parameters of the algorithm


The documentation for this class was generated from the following file:

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