Trains the decision stump model.
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template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::stump::regression::training::interface1::Batch< algorithmFPType, method >
- Template Parameters
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algorithmFPType | Data type to use in intermediate computations for the the decision stump training method, double or float |
method | Decision stump training method, Method |
- Enumerations
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- References
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Batch |
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const Batch< algorithmFPType, method > & |
other | ) |
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Constructs decision stump training algorithm by copying input objects of another decision stump training algorithm
- Parameters
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[in] | other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
services::SharedPtr<Batch<algorithmFPType, method> > clone |
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const |
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inline |
Returns a pointer to the newly allocated decision stump training algorithm with a copy of input objects and parameters of this decision stump training algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the stump training algorithm
- Returns
- Input objects for the stump training algorithm
virtual int getMethod |
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const |
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inlinevirtual |
Returns method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains computed results of the decision stump training algorithm
- Returns
- Structure that contains computed results of the decision stump training algorithm
ParameterType& parameter |
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inline |
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
const ParameterType& parameter |
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const |
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inline |
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
services::Status resetResult |
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inline |
Resets the training results of the stump training algorithm
The documentation for this class was generated from the following file: