Trains model of the LogitBoost 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 LogitBoost, double or float |
method | LogitBoost computation method, daal.algorithms.logitboost.training.Method |
- Enumerations
- Method LogitBoost training methods
- classifier.training.InputId Identifiers of input objects for the LogitBoost training algorithm
- classifier.training.ResultId Identifiers of LogitBoost training results
- References
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- Aliases
Batch_Float64Friedman
is an alias of Batch(fptype=float64, method=daal.algorithms.logitboost.training.friedman)
Batch_Float32Friedman
is an alias of Batch(fptype=float32, method=daal.algorithms.logitboost.training.friedman)
def __init__ |
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- Variant 1
Constructs the LogitBoost training algorithm
- Parameters
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nClasses | Number of classes |
- Variant 2
Constructs a LogitBoost training algorithm by copying input objects and parameters of another LogitBoost 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 LogitBoost training algorithm with a copy of input objects and parameters of this LogitBoost training algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the LogitBoost training algorithm
- Returns
- Input objects for the LogitBoost training algorithm
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains results of LogitBoost training
- Returns
- Structure that contains results of LogitBoost training
Resets the training results of the classification algorithm
The documentation for this class was generated from the following file: