Provides methods to access final results obtained with the compute() method for the multi-class classifier algorithm in the batch processing mode; or finalizeCompute() method of the algorithm in the online or distributed processing mode.
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def allocate_{Float64|Float32} |
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Registers user-allocated memory to store the results of the multi-class classifier training decomposition
- Parameters
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input | Pointer to the structure with input objects |
parameter | Pointer to the structure with algorithm parameters |
method | Computation method |
- Returns
- Status of computation
- Full Names
allocate_Float64
is for float64
allocate_Float32
is for float32
def check |
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Checks the correctness of the Result object
- Parameters
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input | Pointer to the structure of the input objects |
parameter | Pointer to the structure of the algorithm parameters |
method | Computation method |
- Returns
- Status of computation
Returns the model trained with the Multi class classifier algorithm
- Parameters
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id | Identifier of the result, classifier.training.ResultId |
- Returns
- Model trained with the Multi class classifier algorithm
def getSerializationTag |
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getSerializationTag(Result self) -> int
The documentation for this class was generated from the following file:
- multi_class_classifier/training.py