Abstract class that specifies interface of the algorithms for computing BACON outlier detection in the batch processing mode.
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- Parameters
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fptype | Data type to use in intermediate computations for the BACON outlier detection, double or float |
method | BACON outlier detection computation method, daal.algorithms.bacon_outlier_detection.Method |
- Enumerations
- Method Computation methods for the BACON outlier detection
- InputId Identifiers of input objects for the BACON outlier detection
- ResultId Identifiers of the results of the BACON outlier detection algorithm
- References
- Parameter<defaultDense> class
- Parameter<BACONDense> class
- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.bacon_outlier_detection.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.bacon_outlier_detection.defaultDense)
def __init__ |
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- Variant 1
- Default constructor
- Variant 2
Constructs an algorithm for computing BACON outlier detection by copying input objects and parameters of another algorithm for computing BACON outlier detection
- Parameters
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other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to the newly allocated algorithm for computing BACON outlier detection with a copy of input objects and parameters of this algorithm for computing BACON outlier detection
- Returns
- Pointer to the newly allocated algorithm
Returns method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains the results of the BACON outlier detection
- Returns
- Structure that contains the results of the BACON outlier detection algorithm
def setResult |
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Registers user-allocated memory to store the results of the BACON outlier detection algorithm
- Parameters
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result | Structure for storing the results of the BACON outlier detection algorithm |
- Returns
- Status of computations
The documentation for this class was generated from the following file:
- bacon_outlier_detection.py