outlierDetectionQuantiles

Functions
template<domain D :shared3p >
D bool	outlierDetectionQuantiles (float64 p, D int64[[1]] data, D bool[[1]] isAvailable)
template<domain D :shared3p >
D bool	outlierDetectionQuantiles (float32 p, D int32[[1]] data, D bool[[1]] isAvailable)
template<domain D :shared3p >
D bool	outlierDetectionQuantiles (float64 p, D float64[[1]] data, D bool[[1]] isAvailable)
template<domain D :shared3p >
D bool	outlierDetectionQuantiles (float32 p, D float32[[1]] data, D bool[[1]] isAvailable)

Detailed Description

Outlier detection (using quantiles)

Note

D - shared3p protection domain

Supported types - int32 / int64 / float32 / float64

Parameters

p	- quantile probability (between 0 and 1). Quantile Qp is a value such that a random variable with the same distribution as the sample points will be less than Qp with probability p.
data	- input vector
isAvailable	- vector indicating which elements of the input vector are available

Returns

returns a boolean mask vector. For each sample point x, the corresponding mask element is true if the corresponding isAvailable element is true and Q_p < x < Q_1-p

Leakage

Leaks the number of missing values in the input

Function Documentation

outlierDetectionQuantiles() [1/4]

D bool outlierDetectionQuantiles	(	float32	p,
		D float32[[1]]	data,
		D bool[[1]]	isAvailable
	)

outlierDetectionQuantiles() [2/4]

D bool outlierDetectionQuantiles	(	float32	p,
		D int32[[1]]	data,
		D bool[[1]]	isAvailable
	)

outlierDetectionQuantiles() [3/4]

D bool outlierDetectionQuantiles	(	float64	p,
		D float64[[1]]	data,
		D bool[[1]]	isAvailable
	)

outlierDetectionQuantiles() [4/4]

D bool outlierDetectionQuantiles	(	float64	p,
		D int64[[1]]	data,
		D bool[[1]]	isAvailable
	)