C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

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Parameter< baconDense > Struct Template Reference

Parameters of the outlier detection computation using the baconDense method. More...

Class Declaration

template<>
struct daal::algorithms::multivariate_outlier_detection::interface1::Parameter< baconDense >

Deprecated:
This item will be removed in a future release. Use bacon_outlier_detection::Parameter instead.
template <>
struct DAAL_EXPORT Parameter<baconDense> : public daal::algorithms::Parameter
{
double alpha = 0.05, double toleranceToConverge = 0.005) {}
double alpha;
virtual services::Status check() const DAAL_C11_OVERRIDE {return services::Status();}
};

Member Data Documentation

double alpha

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.

Initialization method, BaconInitializationMethod

double toleranceToConverge

Stopping criterion: the algorithm is terminated if the size of the basic subset is changed by less than the threshold


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

For more complete information about compiler optimizations, see our Optimization Notice.