Partial results obtained with the compute() method of the K-Means algorithm in the batch processing mode.
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◆ allocate()
Allocates memory to store partial results of computing initial centroids for the K-Means algorithm
- Parameters
-
[in] | input | Pointer to the input structure |
[in] | parameter | Pointer to the parameter structure |
[in] | method | Computation method of the algorithm |
◆ check() [1/2]
Checks a partial result of computing initial centroids for the K-Means algorithm
- Parameters
-
[in] | input | Input object for the algorithm |
[in] | par | Parameter of the algorithm |
[in] | method | Computation method of the algorithm |
Reimplemented from PartialResult.
◆ check() [2/2]
Checks a partial result of computing initial centroids for the K-Means algorithm
- Parameters
-
[in] | par | Parameter of the algorithm |
[in] | method | Computation method of the algorithm |
Reimplemented from PartialResult.
◆ get()
Returns a partial result of computing initial centroids for the K-Means algorithm
- Parameters
-
[in] | id | Identifier of the partial result |
- Returns
- Partial result that corresponds to the given identifier
◆ getNumberOfFeatures()
size_t getNumberOfFeatures |
( |
| ) |
const |
Returns the number of features in the result table of the K-Means algorithm
- Returns
- Number of features in the result table of the K-Means algorithm
◆ set()
void set |
( |
PartialResultId |
id, |
|
|
const data_management::NumericTablePtr & |
ptr |
|
) |
| |
Sets a partial result of computing initial centroids for the K-Means algorithm
- Parameters
-
[in] | id | Identifier of the partial result |
[in] | ptr | Pointer to the object |
The documentation for this class was generated from the following file: