Contains a class for linear regression model-based training.
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| class | InputIface |
| | Abstract class that specifies the interface of input objects for linear regression model-based training. More...
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| class | Input |
| | Input objects for linear regression model-based training More...
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| class | PartialResult |
| | 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. More...
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| class | DistributedInput< step2Master > |
| | Input object for linear regression model-based training in the second step of the distributed processing mode More...
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| class | Result |
| | Provides methods to access the result obtained with the compute() method of linear regression model-based training. More...
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| Enumerator |
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| data |
Input data table
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| dependentVariables |
Values of the dependent variable for the input data
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| Enumerator |
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| defaultDense |
Default: Normal equations method
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| normEqDense |
Normal equations method
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| qrDense |
QR decomposition-based method
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| Enumerator |
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| partialModel |
Partial model trained on the available input data
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| Enumerator |
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| model |
Linear regression model
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| Enumerator |
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| partialModels |
Collection of partial models trained on local nodes
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