Input objects of the PCA SVD algorithm in the distributed processing mode.
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- Aliases
DistributedInput_SvdDense is an alias of DistributedInput(method=daal.algorithms.pca.svdDense)
DistributedInput_CorrelationDense is an alias of DistributedInput(method=daal.algorithms.pca.correlationDense)
| def __init__ |
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__init__(daal.algorithms.pca.DistributedInput<(daal.algorithms.pca.svdDense)> self) -> DistributedInput
| def add |
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self, |
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id, |
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value |
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Adds input objects of the PCA algorithm on the second step in the distributed processing mode
- Parameters
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| id | Identifier of the input object |
| value | Pointer to the input object |
| def check |
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parameter, |
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method |
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Checks the input of the PCA algorithm
- Parameters
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| parameter | Algorithm parameter |
| method | Computation method |
- Returns
- Errors detected while checking
Gets input objects for the PCA algorithm on the second step in the distributed processing mode
- Parameters
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| id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
Returns the number of columns in the input data set
- Returns
- Number of columns in the input data set
| def getPartialResult |
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self, |
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id |
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Retrieves specific partial result from the input objects of the PCA algorithm on the second step in the distributed processing mode
- Parameters
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| id | Identifier of the partial result |
| def set |
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id, |
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ptr |
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Sets input objects for the PCA on the second step in the distributed processing mode
- Parameters
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| id | Identifier of the input object |
| ptr | Input object that corresponds to the given identifier |
The documentation for this class was generated from the following file:
- algorithms/pca/__init__.py