Input objects of the PCA SVD algorithm in the distributed processing mode.
More...
- 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__ |
( |
|
self, |
|
|
|
args |
|
) |
| |
__init__(daal.algorithms.pca.DistributedInput<(daal.algorithms.pca.svdDense)> self) -> DistributedInput
def add |
( |
|
self, |
|
|
|
id, |
|
|
|
value |
|
) |
| |
Adds input objects of the PCA algorithm on the second step in the distributed processing mode
- Parameters
-
id | Identifier of the input object |
value | Pointer to the input object |
def check |
( |
|
self, |
|
|
|
parameter, |
|
|
|
method |
|
) |
| |
Checks the input of the PCA algorithm
- Parameters
-
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
-
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 |
( |
|
self, |
|
|
|
id |
|
) |
| |
Retrieves specific partial result from the input objects of the PCA algorithm on the second step in the distributed processing mode
- Parameters
-
id | Identifier of the partial result |
def set |
( |
|
self, |
|
|
|
id, |
|
|
|
ptr |
|
) |
| |
Sets input objects for the PCA on the second step in the distributed processing mode
- Parameters
-
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