Partial results obtained with the compute() method of the K-Means algorithm in the batch processing mode.
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| def allocate_{Float64|Float32} |
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self, |
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input, |
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parameter, |
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method |
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Allocates memory to store partial results of computing initial centroids for the K-Means algorithm
- Parameters
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| input | Pointer to the input structure |
| parameter | Pointer to the parameter structure |
| method | Computation method of the algorithm |
- Full Names
allocate_Float64 is for float64
allocate_Float32 is for float32
- Variant 1
Checks a partial result of computing initial centroids for the K-Means algorithm
- Parameters
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| input | Input object for the algorithm |
| par | Parameter of the algorithm |
| method | Computation method of the algorithm |
- Variant 2
Checks a partial result of computing initial centroids for the K-Means algorithm
- Parameters
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| par | Parameter of the algorithm |
| method | Computation method of the algorithm |
Returns a partial result of computing initial centroids for the K-Means algorithm
- Parameters
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| id | Identifier of the partial result |
- Returns
- Partial result that corresponds to the given identifier
| def getNumberOfFeatures |
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self | ) |
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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
| def getSerializationTag |
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self | ) |
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getSerializationTag(PartialResult self) -> int
| def set |
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self, |
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id, |
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ptr |
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Sets a partial result of computing initial centroids for the K-Means algorithm
- Parameters
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| id | Identifier of the partial result |
| ptr | Pointer to the object |
The documentation for this class was generated from the following file: