C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
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 } |
| enum BaconInitializationMethod |
Available initialization method for the BACON multivariate outlier detection algorithm
| Enumerator | |
|---|---|
| baconMedian |
Median-based method |
| baconMahalanobis |
Mahalanobis distance-based method |
| enum InputId |
Available identifiers of input objects for the multivariate outlier detection algorithm
| enum Method |
Available computation methods for the multivariate outlier detection algorithm
| Enumerator | |
|---|---|
| defaultDense |
Default method |
| baconDense |
Blocked Adaptive Computationally-efficient Outlier Nominators(BACON) method
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