Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

List of all members

Trains a model of the gradient boosted trees regression algorithm in the batch processing mode. More...

Class Constructor

TrainingBatch ( DaalContext  context,
TrainingBatch  other 
)

Constructs the gradient boosted trees regression training algorithm by copying input objects and parameters of another gradient boosted trees regression training algorithm

Parameters
contextContext to manage gradient boosted trees regression training
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
TrainingBatch ( DaalContext  context,
Class<?extends Number >  cls,
TrainingMethod  method 
)

Constructs the gradient boosted trees regression training algorithm

Parameters
contextContext to manage gradient boosted trees regression training
clsData type to use in intermediate computations for gradient boosted trees regression training, Double.class or Float.class
methodgradient boosted trees regression training method, TrainingMethod

Detailed Description

References

Member Function Documentation

TrainingBatch clone ( DaalContext  context)

Returns the newly allocated gradient boosted trees regression training algorithm with a copy of input objects and parameters of this gradient boosted trees regression training algorithm

Parameters
contextContext to manage gradient boosted trees regression training
Returns
The newly allocated algorithm
TrainingResult compute ( )

Trains a model of the gradient boosted trees regression algorithm

Returns
Structure that contains results of the gradient boosted trees regression training algorithm

Member Data Documentation

Input of the algorithm

Training method for the algorithm

Parameter parameter

Parameters of the algorithm


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

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