Base class for making predictions based on the model of the classification algorithms.
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◆ Batch()
Constructs a classifier prediction algorithm by copying input objects and parameters of another classifier prediction algorithm
- Parameters
-
[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
◆ clone()
Returns a pointer to the newly allocated classifier prediction algorithm with a copy of input objects and parameters of this classifier prediction algorithm
- Returns
- Pointer to the newly allocated algorithm
◆ getInput()
Get input objects for the classifier prediction algorithm
- Returns
- Input objects for the classifier prediction algorithm
Implemented in Batch< algorithmFPType, method >, Batch< algorithmFPType, pmethod, tmethod >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, Batch< algorithmFPType, method >, and Batch< algorithmFPType, method >.
◆ getResult()
Returns the structure that contains computed prediction results
- Returns
- Structure that contains computed prediction results
◆ setResult()
Registers user-allocated memory for storing the prediction results
- Parameters
-
[in] | result | Structure for storing the prediction results |
- Returns
- Status of computation
The documentation for this class was generated from the following file: