Linear
Methods
| Compute() |
Computes the model.
(Inherited from Model) Obsolete. |
| Compute( |
Computes the model.
(Inherited from Model) Obsolete. |
| Contains |
Returns whether another ClassificationModel<T> is nested
within this instance.
(Inherited from ClassificationModel<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 | Serves as the default hash function. (Inherited from Object) |
| Get | Gets the Type of the current instance. (Inherited from Object) |
| Inverse | Applies the inverse transformation to a set of observations. |
| Memberwise | Creates a shallow copy of the current Object. (Inherited from Object) |
| Predict( |
Predicts the most likely class based on
the specified features.
(Inherited from ClassificationModel<T>) |
| Predict( |
Predicts the value of the output corresponding to
the specified features.
(Inherited from ClassificationModel<T>) |
| Predict( |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the value of the dependent variable based on
the specified values of the features.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the class based on
the specified values of the features.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the value of the output corresponding to
the specified features.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the probabilities of each class based on
the specified values of the features.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the probabilities of each class based on
the specified values of the features.
(Overrides ClassificationModel<T>.PredictProbabilitiesCore(Vector<T>, Vector<Double>, Boolean)) |
| Predict |
Predicts the value of the output corresponding to
the specified input.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the value of the output corresponding to
the specified features.
(Inherited from ClassificationModel<T>) |
| Predict |
Predicts the probabilities of each class based on
the specified features.
(Inherited from ClassificationModel<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.
(Overrides Model.Summarize(SummaryOptions)) |
| ToString | Returns a string that represents the current object. (Inherited from Model) |
| Transform | Applies the transformation to a set of observations. |
Extension Methods
| Transform |
Applies the transformation to a set of observations.
(Defined by ModelExtensions) |
| Transform |
Applies the transformation to a set of observations.
(Defined by ModelExtensions) |