Partial results obtained with the compute() method of K-Means algorithm in the batch 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 K-Means algorithm
- Parameters
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input | Pointer to the structure of the input objects |
parameter | Pointer to the structure of the algorithm parameters |
method | Computation method of the algorithm |
- Full Names
allocate_Float64
is for float64
allocate_Float32
is for float32
- Variant 1
Checks partial results of K-Means algorithm
- Parameters
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input | Input object of the algorithm |
par | Algorithm parameter |
method | Computation method |
- Variant 2
Checks partial results of K-Means algorithm
- Parameters
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par | Algorithm parameter |
method | Computation method |
Returns a partial result of 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 Input data table
- Returns
- Number of features in the Input data table
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 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:
- algorithms/kmeans/__init__.py