C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
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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