Contains classes for computing the results of the PCA transformation algorithm.
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class | Input |
| Input objects for the PCA transformation algorithm in the batch and online processing modes and for the first distributed step of the algorithm. More...
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class | Result |
| Provides methods to access final results obtained with the compute() method of the PCA transformation algorithm in the batch processing mode or finalizeCompute() method of algorithm in the online processing mode or on the second and third steps of the algorithm in the distributed processing mode. More...
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struct | Parameter |
| Parameters for the PCA transformation compute method. More...
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Available types of input objects for the PCA transformation algorithm
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data |
Input data table
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eigenvectors |
Transformation matrix of eigenvectors
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Available methods for computing the PCA transformation algorithm
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defaultDense |
Default method
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Available types of results of the PCA transformation algorithm
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transformedData |
Transformed data
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enum TransformComponentId |
Available types of dataForTransform - TODO: remove after extending PCA
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mean |
Numeric table of size 1 x p with the mean values of features >
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variance |
Numeric table of size 1 x p with the variances of features >
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eigenvalue |
Numeric table of size 1 x p with the always computed eigenvalues>
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enum TransformDataInputId |
Available types of input objects for the PCA transformation algorithm
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dataForTransform |
Data for transform
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