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MultinomialLogisticRegressionAnalysis Properties |
The MultinomialLogisticRegressionAnalysis type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Array | Obsolete.
Source data used in the analysis.
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| ChiSquare |
Gets the Chi-Square (Likelihood Ratio) Test for the model.
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| Coefficients |
Gets the collection of coefficients of the model.
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| CoefficientValues |
Gets the value of each coefficient.
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| Confidences |
Gets the Confidence Intervals (C.I.)
for each coefficient found in the regression.
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| Deviance |
Gets the Deviance of the model.
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| InputNames |
Gets or sets the name of the input variables for the model.
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| Inputs | Obsolete.
Obsolete. Please use InputNames instead.
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| Iterations |
Gets or sets the maximum number of iterations to be
performed by the regression algorithm. Default is 50.
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| LogLikelihood |
Gets the Log-Likelihood for the model.
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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.) |
| Output | Obsolete.
Gets the dependent variable value
for each of the source input points.
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| OutputCount |
Gets the number of outputs in the regression problem.
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| OutputNames |
Gets or sets the name of the output variable for the model.
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| Outputs | Obsolete.
Gets the dependent variable value
for each of the source input points.
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| Regression |
Gets the Regression model created
and evaluated by this analysis.
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| Results | Obsolete.
Gets the resulting values obtained by the regression model.
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| Source | Obsolete.
Source data used in the analysis.
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| StandardErrors |
Gets the Standard Error for each coefficient
found during the logistic regression.
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| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
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| Tolerance |
Gets or sets the difference between two iterations of the regression
algorithm when the algorithm should stop. The difference is calculated
based on the largest absolute parameter change of the regression. Default
is 1e-5.
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| WaldTests |
Gets the Wald Tests for each coefficient.
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See Also