Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Provides methods for logistic regression model-based training in the batch processing mode. More...
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
context | Context to manage logistic regression model-based training |
other | Algorithm 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
context | Context to manage logistic regression model-based training |
cls | Data type to use in intermediate computations of logistic regression, Double.class or Float.class |
method | Algorithm computation method, TrainingMethod |
nClasses | Number of classes |
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
context | Context to manage logistic regression model-based training |
TrainingResult compute | ( | ) |
Computes the result of logistic regression model-based training in the batch processing mode
TrainingMethod method |
Training method for the algorithm
TrainingParameter parameter |
Parameters of the algorithm
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