Algorithm class to train the SVM model
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- Parameters
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fptype | Data type to use in intermediate computations for the SVM training algorithm, double or float |
method | SVM training method, Method |
- Enumerations
- classifier.training.InputId Identifiers of SVM training input objects
- classifier.training.ResultId Identifiers of SVM training results
- Method SVM training methods
- References
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- Aliases
Batch_Float64Boser
is an alias of Batch(fptype=float64, method=daal.algorithms.svm.training.boser)
Batch_Float32Boser
is an alias of Batch(fptype=float32, method=daal.algorithms.svm.training.boser)
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- Variant 1
- Default constructor
- Variant 2
Constructs an SVM training algorithm by copying input objects and parameters of another SVM training algorithm
- Parameters
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other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to the newly allocated SVM training algorithm with a copy of input objects and parameters of this SVM training algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the SVM training algorithm
- Returns
- Input objects for the SVM training algorithm
Returns method of the algorithm
- Returns
- Method of the algorithm
Returns structure that contains computed results of the SVM training algorithm
- Returns
- Structure that contains computed results of the SVM training algorithm
Resets the training results of the classification algorithm
Input objects of the algorithm
The documentation for this class was generated from the following file: