Polynomial
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 LinearRegressionModel.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 Breusch-Godfrey test for serial correlation
in the residuals of the regression model.
(Inherited from LinearRegressionModel) |
| Get | Gets the width of the 95% confidence band around the best-fit curve at the specified point. |
| Get |
Gets the width of the 95% confidence band around the best-fit curve at the specified point.
(Inherited from LinearRegressionModel) |
| Get | Gets the width of the confidence band around the best-fit curve at the specified point. |
| Get |
Gets the width of the confidence band around the best-fit curve at the specified point.
(Inherited from LinearRegressionModel) |
| Get |
Returns Cook's distance for each of the observations.
(Inherited from LinearRegressionModel) |
| Get |
Returns the deleted residual for each observation
(Inherited from LinearRegressionModel) |
| Get |
Returns the DFFITS value for each of the observations.
(Inherited from LinearRegressionModel) |
| Get |
Gets the Durbin-Watson statistic for the residuals of the regression.
(Inherited from LinearRegressionModel) |
| Get |
Returns the externally studentized residual for each observation.
(Inherited from LinearRegressionModel) |
| Get | Serves as the default hash function. (Inherited from Object) |
| Get |
Returns a test to verify that the residuals follow a normal distribution.
(Inherited from LinearRegressionModel) |
| Get |
Returns a test to verify that the residuals follow a normal distribution.
(Inherited from LinearRegressionModel) |
| Get | Gets the width of the prediction band around the best-fit curve at the specified point. |
| Get |
Gets the width of the prediction band around the best-fit curve at the specified point.
(Inherited from LinearRegressionModel) |
| Get | Gets the width of the prediction band around the best-fit curve at the specified point. |
| Get |
Gets the width of the prediction band around the best-fit curve at the specified point.
(Inherited from LinearRegressionModel) |
| Get | Returns the regression polynomial as a Polynomial object. |
| Get |
Returns the studentized deleted residual for each observation
(Inherited from LinearRegressionModel) |
| Get |
Returns the studentized residual for each observation.
(Inherited from LinearRegressionModel) |
| 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 dependent variable based on the specified value of the independent variable. |
| 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) |