Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes for computing the explained variance metric.
Classes | |
| class | ExplainedVarianceBatch |
| Computes the PCA explained variance quality metrics in batch processing mode. More... | |
| class | ExplainedVarianceInput |
| Class for the input objects of the algorithm. More... | |
| class | ExplainedVarianceInputId |
| Available identifiers of input objects for a explained variance quality metrics. More... | |
| class | ExplainedVarianceMethod |
| Available methods for computing the quality metric. More... | |
| class | ExplainedVarianceParameter |
| Base class for the parameters of the algorithm. More... | |
| class | ExplainedVarianceResult |
| Class for the the result of PCA quality metrics algorithm. More... | |
| class | ExplainedVarianceResultId |
| Available identifiers of the result of explained variance quality metrics. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.