Java* API Reference for Intel® Data Analytics Acceleration Library 2019
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... | |
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