Class that represents a quality metric set of the pca algorithm.
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size_t |
nComponents = 0, |
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size_t |
nFeatures = 0, |
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bool |
useDefaultMetrics = true |
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Constructs a quality metric set for the pca algorithm
- Parameters
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| [in] | nComponents | Number of principal components |
| [in] | nFeatures | Number of features of source dataset |
| [in] | useDefaultMetrics | Flag. If true, a quality metric set is initialized with the quality metrics provided by the library |
| InputDataCollectionPtr getInputDataCollection |
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inline |
Returns the collection of input objects of the quality metrics algorithm
- Returns
- Collection of input objects of the quality metrics algorithm
| ResultCollectionPtr getResultCollection |
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inline |
Returns the structure that contains a computed quality metric set
- Returns
- Structure that contains a computed quality metric set
Parameters of the algorithm
The documentation for this class was generated from the following file: