Computes correlation distance in the batch processing mode.
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◆ Batch() [1/2]
Constructs the correlation distance algorithm by copying input objects of another correlation distance algorithm
- Parameters
-
context | Context to manage the correlation distance algorithm |
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ Batch() [2/2]
Constructs the correlation distance algorithm
- Parameters
-
context | Context to manage the correlation distance algorithm |
cls | Data type to use in intermediate computations for the correlation distance algorithm, Double.class or Float.class |
method | Correlation distance computation method, Method |
◆ clone()
Returns the newly allocated correlation distance algorithm with a copy of input objects of this correlation distance algorithm
- Parameters
-
context | Context to manage the correlation distance algorithm |
- Returns
- The newly allocated algorithm
◆ compute()
Computes the correlation distance
- Returns
- Results of the algorithm
◆ setResult()
void setResult |
( |
Result |
result | ) |
|
Registers user-allocated memory to store results of the correlation distance algorithm
- Parameters
-
result | Object to store the results |
◆ input
◆ method
Computation method for the algorithm
The documentation for this class was generated from the following file: