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