Regularized Regression Model Methods
Methods
Compute() |
Computes the model.
(Inherited from Model) Obsolete. |
Compute( |
Computes the model.
(Inherited from Model) Obsolete. |
Contains |
Returns whether another RegressionModel<T> is nested
within this instance.
(Inherited from RegressionModel<T>) |
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( |
Fits the model to the data.
(Inherited from Model) |
Fit |
Computes the model to the specified input
using the specified parallelization options.
(Overrides Model.FitCore(ModelInput, ParallelOptions)) |
Get |
Returns the Akaike information criterion (AIC) value for the model.
(Inherited from RegressionModel<T>) |
Get |
Returns the Bayesian information criterion (BIC) value for the model.
(Inherited from RegressionModel<T>) |
Get | Gets the Durbin-Watson statistic for the residuals of the regression. |
Get | Serves as the default hash function. (Inherited from Object) |
Get | Returns a test to verify that the residuals follow a normal distribution. |
Get | Returns a test to verify that the residuals follow a normal distribution. |
Get | Returns a matrix whose rows contain the parameter values of the model using the corresponding value in the supplied vector of regularization parameters. |
Get | Constructs a vector of suitable regularization parameter values based on the model's data. |
Get | Constructs a range of suitable regularization parameter values based on the model's data. |
Get | Constructs a range of suitable regularization parameter values based on the model's data. |
Get | Gets the Type of the current instance. (Inherited from Object) |
Memberwise | Creates a shallow copy of the current Object. (Inherited from Object) |
Predict( |
Predicts the value of the output corresponding to
the specified features.
(Inherited from RegressionModel<T>) |
Predict( |
Predicts the value of the output corresponding to
the specified features.
(Inherited from RegressionModel<T>) |
Predict( |
Predicts the value of the output corresponding to
the specified features.
(Inherited from RegressionModel<T>) |
Predict |
Predicts the value of the dependent variable based on
the specified values of the features.
(Inherited from RegressionModel<T>) |
Predict |
Predicts the value of the dependent variable based on
the specified values of the features.
(Inherited from RegressionModel<T>) |
Reset |
Clears all fitted model parameters.
(Inherited from Model) Obsolete. |
Reset |
Clears all fitted model parameters.
(Inherited from Model) |
Set |
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( |
Returns a string containing a human-readable summary of the object using the specified options.
(Inherited from RegressionModel<T>) |
ToString | Returns a string that represents the current object. (Inherited from Model) |