 Name  Description 

 Compute  Obsolete.
Computes the model.
(Inherited from Model.) 
 Compute(ParallelOptions)  Obsolete.
Computes the model.
(Inherited from Model.) 
 Contains  (Inherited from RegressionModelT.) 
 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 
Computes the model to the specified input
using the specified parallelization options.
(Overrides ModelFitCore(ModelInput, ParallelOptions).) 
 GetAkaikeInformationCriterion 
Returns the Akaike information criterion (AIC) value for the model.
(Inherited from RegressionModelT.) 
 GetBayesianInformationCriterion 
Returns the Bayesian information criterion (BIC) value for the model.
(Inherited from RegressionModelT.) 
 GetChiSquare 
Gets the Pearson chisquare statistic of the model.

 GetCorrectedAkaikeInformationCriterion 
Returns the Akaike information criterion (AIC) value for the model.

 GetDeviance 
Returns the deviance of the computed model.

 GetHashCode  Serves as the default hash function. (Inherited from Object.) 
 GetInformationMatrix 
Calculates the information matrix of the regression.

 GetKernelLogLikelihood 
Returns the portion of the loglikelihood of the computed model that depends on the model parameters.

 GetLikelihoodRatioTest 
Returns a test to verify the significance of the logistic model.

 GetType  Gets the Type of the current instance. (Inherited from Object.) 
 MemberwiseClone  Creates a shallow copy of the current Object. (Inherited from Object.) 
 Predict(IDataFrame, ModelInputFormat) 
Predicts the value of the output corresponding to
the specified features.
(Inherited from RegressionModelT.) 
 Predict(MatrixT, ModelInputFormat) 
Predicts the value of the output corresponding to
the specified features.
(Inherited from RegressionModelT.) 
 Predict(VectorT, ModelInputFormat) 
Predicts the value of the output corresponding to
the specified features.
(Inherited from RegressionModelT.) 
 PredictCore(MatrixT, Boolean) 
Predicts the value of the dependent variable based on
the specified values of the features.
(Inherited from RegressionModelT.) 
 PredictCore(VectorT, Boolean) 
Predicts the value of the dependent variable based on
the specified values of the features.
(Inherited from RegressionModelT.) 
 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 humanreadable summary of the object using default options.
(Inherited from Model.) 
 Summarize(SummaryOptions) 
Returns a string containing a humanreadable summary of the object using the specified options.
(Inherited from RegressionModelT.) 
 ToString  Returns a string that represents the current object. (Inherited from Model.) 