Runs multivariate outlier detection in the batch processing mode.
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◆ Batch() [1/2]
Constructs default multivariate outlier detection algorithm by copying input objects and parameters of another algorithm default multivariate outlier detection algorithm
- Parameters
-
context | Context to manage the multivariate outlier detection |
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ Batch() [2/2]
Constructs default multivariate outlier detection algorithm
- Parameters
-
context | Context to manage the multivariate outlier detection |
cls | Data type to use in intermediate computations of the multivariate outlier detection, Double.class or Float.class |
method | Multivariate outlier detection computation method, Method |
- References
- InputId class. Identifiers of the input objects for the multivariate outlier detection algorithm
- ResultId class. Identifiers of the results of the multivariate outlier detection algorithm
◆ clone()
Returns the newly allocated default multivariate outlier detection algorithm with a copy of input objects and parameters of this default multivariate outlier detection algorithm
- Parameters
-
context | Context to manage the multivariate outlier detection |
- Returns
- The newly allocated algorithm
◆ compute()
Runs multivariate outlier detection algorithm
- Returns
- Outlier detection results
◆ setResult()
void setResult |
( |
Result |
result | ) |
|
Registers user-allocated memory to store the results of the multivariate outlier detection results
- Parameters
-
result | Structure for storing the results of the multivariate outlier detection |
◆ input
◆ method
Computation method for the algorithm
The documentation for this class was generated from the following file:
- multivariate_outlier_detection/Batch.java