Input objects for the K-Means algorithm in the distributed processing mode
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◆ add()
Adds partial results computed on local nodes to the input for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
-
[in] | id | Identifier of the input object |
[in] | value | Pointer to the object |
◆ check()
Checks an input object for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
-
[in] | par | Algorithm parameter |
[in] | method | Computation method |
Reimplemented from Input.
◆ get()
Returns an input object for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
-
[in] | id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
◆ getNumberOfFeatures()
size_t getNumberOfFeatures |
( |
| ) |
const |
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virtual |
Returns the number of features in the Input data table in the second step of the distributed processing mode
- Returns
- Number of features in the Input data table
Implements InputIface.
◆ set()
void set |
( |
MasterInputId |
id, |
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|
const data_management::DataCollectionPtr & |
ptr |
|
) |
| |
Sets an input object for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
-
[in] | id | Identifier of the input object |
[in] | ptr | Pointer to the object |
The documentation for this class was generated from the following file: