Computes the PCA explained variance quality metrics in batch processing mode.
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◆ ExplainedVarianceBatch() [1/2]
Constructs the explained variance quality metrics algorithm in the batch processing mode by copying input objects and parameters of another explained variance quality metrics algorithm
- Parameters
-
context | Context to manage the explained variance quality metrics algorithm |
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ ExplainedVarianceBatch() [2/2]
Constructs the explained variance quality metrics algorithm in the batch processing mode
- Parameters
-
context | Context to manage the explained variance quality metrics algorithm |
cls | Data type to use in intermediate computations of the explained variance quality metrics, Double.class or Float.class |
method | Method for computing the explained variance quality metrics, ExplainedVarianceMethod |
◆ clone()
Returns the newly allocated explained variance quality metrics algorithm with a copy of input objects and parameters of this explained variance quality metrics algorithm
- Parameters
-
context | Context to manage the explained variance quality metrics algorithm |
- Returns
- The newly allocated algorithm
◆ compute()
Computes the explained variance quality metrics
- Returns
- Structure that contains results of the explained variance quality metrics algorithm
◆ setResult()
Registers user-allocated memory for storing results of the explained variance quality metrics algorithm
- Parameters
-
result | Structure for storing results of the explained variance quality metrics algorithm |
The documentation for this class was generated from the following file:
- ExplainedVarianceBatch.java