Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Computes the results of the correlation or variance-covariance matrix algorithm in the first step of the distributed processing mode. More...
| DistributedStep1Local | ( | DaalContext | context, |
| DistributedStep1Local | other | ||
| ) |
Constructs the correlation or variance-covariance matrix algorithm in the first step of the distributed precessing mode by copying input objects and parameters of another algorithm for correlation or variance-covariance matrix computation
| context | Context to manage the correlation or variance-covariance matrix algorithm |
| other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
| DistributedStep1Local | ( | DaalContext | context, |
| Class<?extends Number > | cls, | ||
| Method | method | ||
| ) |
Constructs the correlation or variance-covariance matrix algorithm in the first step of the distributed processing mode
| context | Context to manage the correlation or variance-covariance matrix algorithm |
| cls | Data type to use in intermediate computations of the correlation or variance-covariance matrix, Double.class or Float.class |
| method | Computation method, Method |
| DistributedStep1Local clone | ( | DaalContext | context | ) |
Returns the newly allocated correlation or variance-covariance matrix algorithm in the first step of the distributed processing mode on master node with a copy of input objects and parameters of this correlation or variance-covariance matrix algorithm
| context | Context to manage the correlation or variance-covariance matrix algorithm |
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