Predicts gradient boosted trees classification results.
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- Deprecated:
- This item will be removed in a future release.
- Parameters
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fptype | Data type to use in intermediate computations for the gbt algortithm, double or float |
method | gradient boosted trees computation method, Method |
- Enumerations
- Method gbt prediction methods
- classifier.prediction.NumericTableInputId Identifiers of input Numeric Table objects for the gradient boosted trees prediction algorithm
- classifier.prediction.ModelInputId Identifiers of input Model objects of the algorithm
- classifier.prediction.ResultId Identifiers of prediction results
- References
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- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.gbt.classification.prediction.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.gbt.classification.prediction.defaultDense)
def __init__ |
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- Variant 1
Constructs gradient boosted trees prediction algorithm
- Parameters
-
nClasses | Number of classes |
- Variant 2
Constructs a gradient boosted trees prediction algorithm by copying input objects and parameters of another gradient boosted trees prediction 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 gradient boosted trees prediction algorithm with a copy of input objects and parameters of this gradient boosted trees prediction algorithm
- Returns
- Pointer to the newly allocated algorithm
Gets input objects for the gradient boosted trees prediction algorithm
- Returns
- Input objects for the Gradient Boosted Trees prediction algorithm
Returns method of the algorithm
- Returns
- Method of the algorithm
def parameter |
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- Variant 1
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
- Variant 2
Gets parameter of the algorithm
- Returns
- parameter of the algorithm
Input objects of the algorithm
The documentation for this class was generated from the following file:
- gbt/classification/prediction.py