Provides methods to access the result obtained with the compute() method of the regression model-based training.
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◆ Result()
Result |
( |
size_t |
nElements = 0 | ) |
|
Constructs the results of the regression training algorithm
- Parameters
-
[in] | nElements | Number of results |
◆ check()
Checks the result of the 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.
Reimplemented in Result, and Result.
◆ deserializeImpl()
Interfaces for the implementation of deserialization
- Parameters
-
[in] | archive | Storage for a deserialized object or data structure |
Reimplemented from Result.
◆ get()
linear_model::ModelPtr get |
( |
ResultId |
id | ) |
const |
Returns the result of the regression model-based training
- Parameters
-
[in] | id | Identifier of the result |
- Returns
- Result that corresponds to the given identifier
◆ serializeImpl()
Interfaces for the implementation of serialization
- Parameters
-
[in] | archive | Storage for a serialized object or data structure |
Reimplemented from Result.
◆ set()
void set |
( |
ResultId |
id, |
|
|
const linear_model::ModelPtr & |
value |
|
) |
| |
Sets the result of the 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: