| Name | Description |
---|
 | Compute | Obsolete.
Computes the model.
(Inherited from Model.) |
 | Compute(ParallelOptions) | Obsolete.
Computes the model.
(Inherited from Model.) |
 | Contains | (Inherited from ClassificationModelT.) |
 | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
 | Fit |
Fits the model to the data.
(Inherited from Model.) |
 | Fit(ParallelOptions) |
Fits the model to the data.
(Inherited from Model.) |
 | FitCore |
Fits the model to the data.
(Overrides ModelFitCore(ModelInput, ParallelOptions).) |
 | GetAkaikeInformationCriterion |
Returns the Akaike information criterion (AIC) value for the model.
|
 | GetBaseLogLikelihood |
Returns the log-likelihood of the model containing only a constant term.
|
 | GetBayesianInformationCriterion |
Returns the Bayesian information criterion (BIC) value for the model.
|
 | GetCoxAndSnellPseudoRSquared |
Returns the Cox & Snell pseudo R-squared value of the model.
|
 | GetHashCode | Serves as the default hash function. (Inherited from Object.) |
 | GetInformationMatrix |
Calculates the information matrix for the regression.
|
 | GetLikelihoodRatioTest |
Returns a test to verify the significance of the logistic model.
|
 | GetLikelihoodRatioTest(LogisticRegressionModel) |
Returns a test to verify the significance of the logistic model.
|
 | GetMcFaddenPseudoRSquared |
Returns the McFadden pseudo R-squared value of the model.
|
 | GetNagelkerkePseudoRSquared |
Returns the Nagelkerke pseudo R-squared value of the model.
|
 | GetPearsonGoodnessOfFitTest |
Returns the Wald test for all the parameters in the regression.
|
 | GetType | Gets the Type of the current instance. (Inherited from Object.) |
 | GetWaldTest |
Returns the Wald test for all the parameters in the regression.
|
 | GetWaldTest(Int32) |
Returns the Wald test for the selected parameters in the regression.
|
 | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
 | Predict(IDataFrame, ModelInputFormat) |
Predicts the most likely class based on
the specified features.
(Inherited from ClassificationModelT.) |
 | Predict(MatrixT, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified features.
(Inherited from ClassificationModelT.) |
 | Predict(VectorT, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModelT.) |
 | PredictCore(MatrixDouble, Boolean) |
Predicts the value of the dependent variable based on
the specified values of the features.
(Overrides ClassificationModelTPredictCore(MatrixT, Boolean).) |
 | PredictCore(VectorDouble, Boolean) |
Predicts the class based on
the specified values of the features.
(Overrides ClassificationModelTPredictCore(VectorT, Boolean).) |
 | PredictProbabilities(IDataFrame, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModelT.) |
 | PredictProbabilities(MatrixT, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified features.
(Inherited from ClassificationModelT.) |
 | PredictProbabilities(VectorT, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModelT.) |
 | PredictProbabilitiesCore(MatrixDouble, MatrixDouble, Boolean) |
Predicts the probabilities of each class based on
the specified values of the features.
(Overrides ClassificationModelTPredictProbabilitiesCore(MatrixT, MatrixDouble, Boolean).) |
 | PredictProbabilitiesCore(VectorDouble, VectorDouble, Boolean) |
Predicts the probabilities of each class based on
the specified values of the features.
(Overrides ClassificationModelTPredictProbabilitiesCore(VectorT, VectorDouble, Boolean).) |
 | PredictProbabilitiesInto(IDataFrame, MatrixDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModelT.) |
 | PredictProbabilitiesInto(MatrixT, MatrixDouble, ModelInputFormat) |
Predicts the value of the output corresponding to
the specified features.
(Inherited from ClassificationModelT.) |
 | PredictProbabilitiesInto(VectorT, VectorDouble, ModelInputFormat) |
Predicts the probabilities of each class based on
the specified features.
(Inherited from ClassificationModelT.) |
 | ResetComputation | Obsolete.
Clears all fitted model parameters.
(Inherited from Model.) |
 | ResetFit |
Clears all fitted model parameters.
(Inherited from Model.) |
 | SetDataSource |
Uses the specified data frame as the source for all input variables.
(Inherited from Model.) |
 | Summarize |
Returns a string containing a human-readable summary of the object using default options.
(Inherited from Model.) |
 | Summarize(SummaryOptions) |
Returns a string containing a human-readable summary of the object using the specified options.
(Overrides ModelSummarize(SummaryOptions).) |
 | ToString | Returns a string that represents the current object. (Inherited from Model.) |