Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

List of all members

Runs the univariate outlier detection algorithm in the batch processing mode. More...

Class Constructor

Batch ( DaalContext  context,
Batch  other 
)

Constructs the univariate outlier detection algorithm by copying input objects of another univariate outlier detection algorithm

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

Constructs the univariate outlier detection algorithm

Parameters
contextContext to manage created univariate outlier detection algorithm
clsData type to use in intermediate computations for the univariate outlier detection algorithm, Double.class or Float.class
methodunivariate outlier detection computation method, Method

Detailed Description

References
  • InputId class. Identifiers of input objects
  • ResultId class. Identifiers of results

Member Function Documentation

Batch clone ( DaalContext  context)

Returns the newly allocated univariate outlier detection algorithm with a copy of input objects of this univariate outlier detection algorithm

Parameters
contextContext to manage created univariate outlier detection algorithm
Returns
The newly allocated algorithm
Result compute ( )

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
resultStructure to store univariate outlier detection results

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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