Class that represents a set of quality metrics to check the model trained with the BrownBoost algorithm.
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bool |
useDefaultMetrics = true | ) |
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Constructs a quality metric set for the model trained with the BrownBoost algorithm
- Parameters
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[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
The documentation for this class was generated from the following file: