Provides methods to access final results obtained with the compute() method of the LogitBoost training algorithm in the batch processing mode.
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◆ allocate()
Allocates memory to store final results of the LogitBoost training algorithm
- Parameters
-
[in] | input | Input of the LogitBoost training algorithm |
[in] | parameter | Parameters of the algorithm |
[in] | method | LogitBoost computation method |
- Returns
- Status of allocation
◆ check()
s 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]
Returns the model trained with the LogitBoost algorithm
- Parameters
-
- Returns
- Model trained with the LogitBoost algorithm
◆ 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]
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: