Runs multivariate outlier detection in the batch processing mode.
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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 |
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 |
- Deprecated:
- This item will be removed in a future release. Use com.intel.daal.algorithms.multivariate_outlier_detection.Batch instead.
- 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
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
Runs multivariate outlier detection algorithm
- Returns
- Outlier detection results
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 |
Computation method for the algorithm
Parameters of the algorithm
The documentation for this class was generated from the following file:
- multivariate_outlier_detection/defaultdense/Batch.java