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

List of all members

Predicts gradient boosted trees regression regression results. More...

Class Constructor

◆ PredictionBatch() [1/2]

PredictionBatch ( DaalContext  context,
PredictionBatch  other 
)

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

Parameters
contextContext to manage gradient boosted trees regression prediction
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm

◆ PredictionBatch() [2/2]

PredictionBatch ( DaalContext  context,
Class<? extends Number >  cls,
PredictionMethod  method 
)

Constructs the gradient boosted trees regression prediction algorithm

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

Detailed Description

References

Member Function Documentation

◆ clone()

PredictionBatch clone ( DaalContext  context)

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

Parameters
contextContext to manage gradient boosted trees regression prediction
Returns
The newly allocated algorithm

◆ compute()

PredictionResult compute ( )

Computes the results of gradient boosted trees regression prediction in the batch processing mode

Returns
Results of igradient boosted trees regression prediction in the batch processing mode

Member Data Documentation

◆ input

Input data

◆ method

Prediction 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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