Provides methods to access partial results obtained with the compute() method of the implicit ALS initialization algorithm.
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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 for storing partial results of the implicit ALS initialization algorithm
- Parameters
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input | Pointer to the input object 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
def check |
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self, |
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input, |
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parameter, |
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method |
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Checks a partial result of the implicit ALS initialization algorithm
- Parameters
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input | Input object for the algorithm |
parameter | Parameter of the algorithm |
method | Computation method of the algorithm |
def getSerializationTag |
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self | ) |
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getSerializationTag(DistributedPartialResultStep2 self) -> int
def getTable |
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self, |
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id |
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Gets a partial result of the implicit ALS initialization algorithm
- Parameters
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id | Identifier of the partial result |
- Returns
- Partial result that corresponds to the given identifier
def setTable |
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self, |
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id, |
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ptr |
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Sets a partial result of the implicit ALS initialization algorithm
- Parameters
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id | Identifier of the partial result |
ptr | The partial result object |
The documentation for this class was generated from the following file:
- implicit_als/training/init.py