Trains model of the logistic regression 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 logistic regression, double or float |
method | logistic regression computation method, daal.algorithms.logistic_regression.training.Method |
- Enumerations
- Method logistic regression training methods
- classifier.training.InputId Identifiers of input objects for the logistic regression training algorithm
- classifier.training.ResultId Identifiers of logistic regression training results
- References
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- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.logistic_regression.training.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.logistic_regression.training.defaultDense)
def __init__ |
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- Variant 1
Constructs the logistic regression training algorithm
- Parameters
-
nClasses | Number of classes |
solver | Optimization solver |
- Variant 2
Constructs the logistic regression training algorithm
- Parameters
-
nClasses | Number of classes |
solver | Optimization solver |
- Variant 3
Constructs a logistic regression training algorithm by copying input objects and parameters of another logistic regression 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 logistic regression training algorithm with a copy of input objects and parameters of this logistic regression training algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the logistic regression training algorithm
- Returns
- Input objects for the logistic regression training algorithm
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains results of logistic regression training
- Returns
- Structure that contains results of logistic regression 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 algorithm
The documentation for this class was generated from the following file:
- logistic_regression/training.py