Provides methods to access partial results obtained with the compute() method of the second step of the QR decomposition 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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Allocates memory for storing partial results of the QR decomposition algorithm
- Parameters
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input | Pointer to input object |
parameter | Pointer to parameter |
method | Computation method |
- Full Names
allocate_Float64
is for float64
allocate_Float32
is for float32
- Variant 1
Checks partial results of the algorithm
- Parameters
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parameter | Pointer to parameters |
method | Computation method |
- Variant 2
Checks final results of the algorithm
- Parameters
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input | Pointer to input objects |
parameter | Pointer to parameters |
method | Computation method |
def getCollection |
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getCollection(DistributedPartialResult self, daal.algorithms.qr.DistributedPartialResultCollectionId id) -> daal.data_management.KeyValueDataCollectionPtr
def getResult |
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Returns the result of the QR decomposition algorithm with the matrix R calculated
- Parameters
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id | Identifier of the result |
- Returns
- Result that corresponds to the given identifier
def getSerializationTag |
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getSerializationTag(DistributedPartialResult self) -> int
def setCollection |
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id, |
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value |
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Sets KeyValueDataCollection to store partial result of the QR decomposition algorithm
- Parameters
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id | Identifier of partial result |
value | Pointer to the Result object |
def setResult |
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id, |
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value |
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Sets Result object to store the result of the QR decomposition algorithm
- Parameters
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id | Identifier of the result |
value | Pointer to the Result object |
The documentation for this class was generated from the following file: