Provides methods to access the result obtained with the compute() method of linear regression model-based training.
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◆ allocate() [1/2]
Allocates memory to store the result of linear regression model-based training
- Parameters
-
[in] | input | Pointer to an object containing the input data |
[in] | method | Computation method for the algorithm |
[in] | parameter | Parameter of linear regression model-based training |
- Returns
- Status of computations
◆ allocate() [2/2]
Allocates memory to store the result of linear regression model-based training
- Parameters
-
[in] | partialResult | Pointer to an object containing the input data |
[in] | method | Computation method of the algorithm |
[in] | parameter | Parameter of linear regression model-based training |
- Returns
- Status of computations
◆ check() [1/2]
Checks the result of linear regression model-based training
- Parameters
-
[in] | input | Input object for the algorithm |
[in] | par | Parameter of the algorithm |
[in] | method | Computation method |
- Returns
- Status of computations
Reimplemented from Result.
◆ check() [2/2]
Checks the result of the linear regression model-based training
- Parameters
-
[in] | pr | PartialResult of the algorithm |
[in] | par | Parameter of the algorithm |
[in] | method | Computation method |
- Returns
- Status of computations
Reimplemented from Result.
◆ get()
linear_regression::ModelPtr get |
( |
ResultId |
id | ) |
const |
Returns the result of linear regression model-based training
- Parameters
-
[in] | id | Identifier of the result |
- Returns
- Result that corresponds to the given identifier
◆ set()
void set |
( |
ResultId |
id, |
|
|
const linear_regression::ModelPtr & |
value |
|
) |
| |
Sets the result of linear regression model-based training
- Parameters
-
[in] | id | Identifier of the result |
[in] | value | Result |
The documentation for this class was generated from the following file: