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
For more complete information about compiler optimizations, see our Optimization Notice.