Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

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TrainingBatch Class Reference

Trains a model of the decision forest regression algorithm in the batch processing mode. More...

Class Constructor

◆ TrainingBatch() [1/2]

TrainingBatch ( DaalContext  context,
TrainingBatch  other 
)

Constructs the decision forest regression training algorithm by copying input objects and parameters of another decision forest regression training algorithm

Parameters
contextContext to manage decision forest regression training
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

◆ TrainingBatch() [2/2]

TrainingBatch ( DaalContext  context,
Class<? extends Number >  cls,
TrainingMethod  method 
)

Constructs the decision forest regression training algorithm

Parameters
contextContext to manage decision forest regression training
clsData type to use in intermediate computations for decision forest regression training, Double.class or Float.class
methoddecision forest regression training method, TrainingMethod

Detailed Description

References

Member Function Documentation

◆ clone()

TrainingBatch clone ( DaalContext  context)

Returns the newly allocated decision forest regression training algorithm with a copy of input objects and parameters of this decision forest regression training algorithm

Parameters
contextContext to manage decision forest regression training
Returns
The newly allocated algorithm

◆ compute()

TrainingResult compute ( )

Trains a model of the decision forest regression algorithm

Returns
Structure that contains results of the decision forest regression training algorithm

Member Data Documentation

◆ input

Input of the algorithm

◆ method

Training method for the algorithm

◆ parameter

Parameter parameter

Parameters of the algorithm


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

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