Results obtained with the compute() method of the multi-class confusion matrix algorithm in the batch processing mode.
More...
◆ allocate()
Allocates memory for storing the computed quality metric
- Parameters
-
[in] | input | Pointer to the input structure |
[in] | parameter | Pointer to the parameter structure |
[in] | method | Computation method of the algorithm |
◆ check()
Checks the correctness of the Result object
- Parameters
-
[in] | input | Pointer to the input structure |
[in] | parameter | Pointer to the structure of the algorithm parameters |
[in] | method | Computation method |
Reimplemented from Result.
◆ get()
data_management::NumericTablePtr get |
( |
ResultId |
id | ) |
const |
Returns the quality metric of the classification algorithm
- Parameters
-
[in] | id | Identifier of the result, ResultId |
- Returns
- Quality metric of the classification algorithm
◆ set()
void set |
( |
ResultId |
id, |
|
|
const data_management::NumericTablePtr & |
value |
|
) |
| |
Sets the result of the quality metric of the classification algorithm
- Parameters
-
[in] | id | Identifier of the result, ResultId |
[in] | value | Pointer to the training result |
The documentation for this class was generated from the following file: