Partial results obtained with the compute() method of K-Means algorithm in the distributed processing mode.
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def allocate_{Float64|Float32} |
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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 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 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 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 K-Means algorithm
- Parameters
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id | Identifier of the partial result |
- Returns
- Partial result that corresponds to the given identifier
def getSerializationTag |
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self | ) |
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getSerializationTag(DistributedStep4LocalPlusPlusPartialResult 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 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: