Computes the results of the PCA algorithm on the local nodes.
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- Parameters
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fptype | Data type to use in intermediate computations of the PCA algorithm, double or float |
method | Computation method, Method |
- Enumerations
- Method Computation methods for the algorithm
- References
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- Aliases
Distributed_Step1LocalFloat64SvdDense
is an alias of Distributed(step=daal.step1Local, fptype=float64, method=daal.algorithms.pca.svdDense)
Distributed_Step1LocalFloat64CorrelationDense
is an alias of Distributed(step=daal.step1Local, fptype=float64, method=daal.algorithms.pca.correlationDense)
Distributed_Step1LocalFloat32SvdDense
is an alias of Distributed(step=daal.step1Local, fptype=float32, method=daal.algorithms.pca.svdDense)
Distributed_Step1LocalFloat32CorrelationDense
is an alias of Distributed(step=daal.step1Local, fptype=float32, method=daal.algorithms.pca.correlationDense)
Distributed_Step2MasterFloat64SvdDense
is an alias of Distributed(step=daal.step2Master, fptype=float64, method=daal.algorithms.pca.svdDense)
Distributed_Step2MasterFloat64CorrelationDense
is an alias of Distributed(step=daal.step2Master, fptype=float64, method=daal.algorithms.pca.correlationDense)
Distributed_Step2MasterFloat32SvdDense
is an alias of Distributed(step=daal.step2Master, fptype=float32, method=daal.algorithms.pca.svdDense)
Distributed_Step2MasterFloat32CorrelationDense
is an alias of Distributed(step=daal.step2Master, fptype=float32, method=daal.algorithms.pca.correlationDense)
def __init__ |
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- Variant 1
- Default constructor
- Variant 2
Constructs a PCA algorithm by copying input objects and parameters of another PCA 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 PCA algorithm with a copy of input objects and parameters of this PCA algorithm
- Returns
- Pointer to the newly allocated algorithm
Invokes computations and returns partial result
def finalizeCompute |
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self | ) |
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Finalizes computations and returns (final) result
The documentation for this class was generated from the following file:
- algorithms/pca/__init__.py