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MultivariateLinearRegression Properties |
The MultivariateLinearRegression type exposes the following members.
| Name | Description | |
|---|---|---|
| Coefficients | Obsolete.
Gets the coefficient matrix used by the regression model. Each
column corresponds to the coefficient vector for each of the outputs.
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| Inputs | Obsolete.
Gets the number of inputs in the model.
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| Intercepts |
Gets the intercept vector (bias).
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| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) | |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) | |
| NumberOfParameters |
Gets the number of parameters in the model (returns
NumberOfInputs * NumberOfOutputs + NumberOfInputs).
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| Outputs | Obsolete.
Gets the number of outputs in the model.
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| Weights |
Gets the linear weights matrix.
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