Class that represents a quality metric set to check the model trained with linear regression algorithm.
More...
Batch |
( |
size_t |
nBeta, |
|
|
size_t |
nBetaReducedModel, |
|
|
bool |
useDefaultMetrics = true |
|
) |
| |
|
inline |
Constructs a quality metric set for the model trained with the linear regression algorithm
- Parameters
-
[in] | useDefaultMetrics | Flag. If true, a quality metric set is initialized with the quality metrics provided by the library |
[in] | nBeta | Number of beta coefficients (p) of linear regression model used for prediction |
[in] | nBetaReducedModel | Number of beta coefficients (p0) used for prediction with reduced linear regression model where p - p0 of p beta coefficients are set to 0 |
InputDataCollectionPtr getInputDataCollection |
( |
| ) |
|
|
inline |
Returns the collection of input objects of the quality metrics algorithm
- Returns
- Collection of input objects of the quality metrics algorithm
ResultCollectionPtr getResultCollection |
( |
| ) |
|
|
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: