C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains classes for computing the results of the principal component analysis (PCA) algorithm.
Namespaces | |
interface1 | |
Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
interface3 | |
Contains version 3.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
quality_metric_set | |
Contains classes to check the quality of the pca algorithm. | |
transform | |
Contains classes for computing the results of the PCA transformation algorithm. | |
Enumerations | |
enum | Method { correlationDense = 0, defaultDense = 0, svdDense = 1 } |
enum | InputDatasetId { data } |
enum | InputCorrelationId { correlation } |
enum | Step2MasterInputId { partialResults } |
enum | PartialCorrelationResultId |
enum | PartialSVDTableResultId |
enum | PartialSVDCollectionResultId { auxiliaryData = lastPartialSVDTableResultId + 1, distributedInputs } |
enum | ResultId { eigenvalues, eigenvectors, means, variances } |
enum | ResultCollectionId { dataForTransform } |
enum | ResultToComputeId { , mean = 0x00000001ULL, variance = 0x00000002ULL, eigenvalue = 0x00000004ULL } |
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