Results obtained with the compute() method of the binary confusion matrix 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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Allocates memory for storing results of the quality metric algorithm
- Parameters
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| input | Pointer to the input objects 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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input, |
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parameter, |
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Checks the correctness of the Result object
- Parameters
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| input | Pointer to the structure of the input objects |
| parameter | Pointer to the algorithm parameters |
| method | Computation method |
Returns the quality metric of the classification algorithm
- Parameters
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| id | Identifier of the result, ResultId |
- Returns
- Quality metric of the classification algorithm
| def getSerializationTag |
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self | ) |
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getSerializationTag(Result self) -> int
| def set |
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id, |
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value |
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Sets the result of the binary confusion matrix algorithm
- Parameters
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| id | Identifier of the result, ResultId |
| value | Pointer to the result |
The documentation for this class was generated from the following file:
- binary_confusion_matrix.py