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

References | Namespaces | Classes | Enumerations
Multivariate Outlier Detection

Contains classes for computing the multivariate outlier detection. More...

References

 Batch
 

Namespaces

 daal::algorithms::multivariate_outlier_detection
 Contains classes for computing the multivariate outlier detection.
 
 daal::algorithms::multivariate_outlier_detection::interface1
 Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
 

Classes

struct  InitIface
 Abstract interface class that provides function for the initialization procedure. More...
 
struct  DefaultInit
 Class that specifies the default method for the initialization procedure. More...
 
struct  Parameter< method >
 
struct  Parameter< defaultDense >
 Parameters of the outlier detection computation using the defaultDense method. More...
 
struct  Parameter< baconDense >
 Parameters of the outlier detection computation using the baconDense method. More...
 
class  Input
 Input objects for the multivariate outlier detection algorithm More...
 
class  Result
 Results obtained with the compute() method of the multivariate outlier detection algorithm in the batch processing mode. More...
 

Enumerations

enum  Method { defaultDense = 0, baconDense = 1 }
 
enum  BaconInitializationMethod { baconMedian = 0, baconMahalanobis = 1 }
 
enum  InputId { data, location, scatter, threshold }
 
enum  ResultId { weights }
 

Enumeration Type Documentation

enum BaconInitializationMethod

Available initialization method for the BACON multivariate outlier detection algorithm

Deprecated:
This item will be removed in a future release. Use bacon_outlier_detection::InitializationMethod instead.
Enumerator
baconMedian 

Median-based method

baconMahalanobis 

Mahalanobis distance-based method

enum InputId

Available identifiers of input objects for the multivariate outlier detection algorithm

Enumerator
data 

Input data table

location 

Vector of mean estimates of size 1 x p

scatter 

Measure of spread, the variance-covariance matrix of size p x p

threshold 

Limit that defines the outlier region, the array of size 1 x 1 containing a non-negative number

enum Method

Available computation methods for the multivariate outlier detection algorithm

Enumerator
defaultDense 

Default method

baconDense 

Blocked Adaptive Computationally-efficient Outlier Nominators(BACON) method

Deprecated:
This item will be removed in a future release. Use bacon_outlier_detection::Batch algorithm instead.
enum ResultId

Available identifiers of the results of the multivariate outlier detection algorithm

Enumerator
weights 

Outlier detection results

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