Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

List of all members

Runs multivariate outlier detection in the batch processing mode. More...

Class Constructor

Batch ( DaalContext  context,
Batch  other 
)

Constructs default multivariate outlier detection algorithm by copying input objects and parameters of another algorithm default multivariate outlier detection algorithm

Parameters
contextContext to manage the multivariate outlier detection
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
Batch ( DaalContext  context,
Class<?extends Number >  cls,
Method  method 
)

Constructs default multivariate outlier detection algorithm

Parameters
contextContext to manage the multivariate outlier detection
clsData type to use in intermediate computations of the multivariate outlier detection, Double.class or Float.class
methodMultivariate outlier detection computation method, Method

Detailed Description

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

Member Function Documentation

Batch clone ( DaalContext  context)

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
contextContext to manage the multivariate outlier detection
Returns
The newly allocated algorithm
Result compute ( )

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
resultStructure for storing the results of the multivariate outlier detection

Member Data Documentation

Input input

Input data

Method method

Computation method for the algorithm


The documentation for this class was generated from the following file:

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