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