Provides methods to access a partial result obtained with the compute() method of linear regression model-based training in the online or 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 a partial result of linear regression model-based training
- Parameters
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| input | Input object for the algorithm |
| method | Method of linear regression model-based training |
| parameter | Parameter of linear regression model-based training |
- Returns
- Status of computations
- Full Names
allocate_Float64 is for float64
allocate_Float32 is for float32
- Variant 1
Checks a partial result of the linear regression algorithm
- Parameters
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| input | Input object for the algorithm |
| par | Parameter of the algorithm |
| method | Computation method |
- Returns
- Status of computations
- Variant 2
Checks a partial result of the linear regression algorithm
- Parameters
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| par | Parameter of the algorithm |
| method | Computation method |
- Returns
- Status of computations
Returns a partial result of linear regression model-based training
- Parameters
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| id | Identifier of the partial result |
- Returns
- Partial result that corresponds to the given identifier
| def getNumberOfDependentVariables |
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self | ) |
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Returns the number of dependent variables
- Returns
- Number of dependent variables
| def getNumberOfFeatures |
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self | ) |
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Returns the number of columns in the input data set
- Returns
- Number of columns in the input data set
| def getSerializationTag |
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self | ) |
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getSerializationTag(PartialResult self) -> int
| def initialize_{Float64|Float32} |
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self, |
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input, |
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parameter, |
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method |
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Initializes memory to store a partial result of linear regression model-based training
- Parameters
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| input | Input object for the algorithm |
| method | Method of linear regression model-based training |
| parameter | Parameter of linear regression model-based training |
- Returns
- Status of initialization
- Full Names
initialize_Float64 is for float64
initialize_Float32 is for float32
| def set |
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self, |
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id, |
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value |
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Sets an argument of the partial result
- Parameters
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| id | Identifier of the argument |
| value | Pointer to the argument |
The documentation for this class was generated from the following file:
- linear_regression/training.py