Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

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Parameters of the multivariate outlier detection compute() method used with the baconDense method. More...

Detailed Description

Deprecated:
This item will be removed in a future release. Use com.intel.daal.algorithms.bacon_outlier_detection.Parameter instead.

Member Function Documentation

double getAlpha ( )

Returns the parameter alpha of the BACON method.

Returns
Parameter alpha of the BACON method.
InitializationMethod getInitializationMethod ( )

Returns initialization method of the BACON multivariate outlier detection algorithm

Returns
Initialization method
double getToleranceToConverge ( )

Sets the threshold for the stopping criterion of the algorithms.

Returns
Threshold for the stopping criterion of the algorithm
void setAlpha ( double  alpha)

Sets alpha parameter of the BACON method. alpha is a one-tailed probability that defines the $(1 - \alpha)$ quantile of the $\chi^2$ distribution with $p$ degrees of freedom. Recommended value: $\alpha / n$, where n is the number of observations.

Parameters
alphaValue of the parameter alpha
void setInitializationMethod ( InitializationMethod  method)

Sets initialization method for the BACON multivariate outlier detection algorithm

Parameters
methodInitialization method
void setToleranceToConverge ( double  threshold)

Sets the threshold for the stopping criterion of the algorithms. Stopping criterion: the algorithm is terminated if the size of the basic subset is changed by less than the threshold.

Parameters
thresholdThreshold for the stopping criterion of the algorithm

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

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