Trains model of the Gradient Boosted Trees algorithms in the batch processing mode.
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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 Gradient Boosted Trees, double or float |
method | Gradient Boosted Trees computation method, daal.algorithms.gbt.classification.training.Method |
- Enumerations
- Method Gradient Boosted Trees training methods
- classifier.training.InputId Identifiers of input objects for the Gradient Boosted Trees training algorithm
- classifier.training.ResultId Identifiers of Gradient Boosted Trees training results
- References
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- Aliases
Batch_Float64Xboost
is an alias of Batch(fptype=float64, method=daal.algorithms.gbt.classification.training.xboost)
Batch_Float32Xboost
is an alias of Batch(fptype=float32, method=daal.algorithms.gbt.classification.training.xboost)
def __init__ |
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self, |
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- Variant 1
Constructs the Gradient Boosted Trees training algorithm
- Parameters
-
nClasses | Number of classes |
- Variant 2
Constructs a Gradient Boosted Trees training algorithm by copying input objects and parameters of another Gradient Boosted Trees 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 |
def checkComputeParams |
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self | ) |
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checkComputeParams(Batch self) -> Status
Returns a pointer to the newly allocated Gradient Boosted Trees training algorithm with a copy of input objects and parameters of this Gradient Boosted Trees training algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the Gradient Boosted Trees training algorithm
- Returns
- Input objects for the Gradient Boosted Trees training algorithm
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains results of Gradient Boosted Trees training
- Returns
- Structure that contains results of Gradient Boosted Trees training
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
Resets the training results of the classification algorithm
The documentation for this class was generated from the following file:
- gbt/classification/training.py