Input objects of the naive Bayes training algorithm in the distributed processing mode.
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def __init__ |
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self, |
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args |
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def add |
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self, |
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id, |
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partialResult |
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Adds input object on the master node in the training stage of the classification algorithm
- Parameters
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id | Identifier of the input object |
partialResult | Pointer to the object |
def check |
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self, |
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parameter, |
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method |
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Checks input parameters in the training stage of the classification algorithm
- Parameters
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parameter | Parameter of the algorithm |
method | Algorithm method |
Returns input objects of the classification algorithm in the distributed processing mode
- Parameters
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id | Identifier of the input objects |
- Returns
- Input object that corresponds to the given identifier
def getNumberOfFeatures |
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self | ) |
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getNumberOfFeatures(DistributedInput self) -> size_t
def set |
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self, |
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id, |
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value |
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Sets input object in the training stage of the classification algorithm
- Parameters
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id | Identifier of the object |
value | Pointer to the object |
The documentation for this class was generated from the following file:
- multinomial_naive_bayes/training.py