Classification Model<T> Properties
Properties
Base |
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model) |
Can | Gets whether the classifier supports predicting probabilities for each class. |
Category | Gets the category index of the dependent variable or targets. |
Computed |
Gets whether the model has been computed.
(Inherited from Model) Obsolete. |
Data |
Gets an object that contains all the data used as input to the model.
(Inherited from Model) |
Dependent | Gets a vector that contains the dependent variable that is to be fitted. |
Fitted |
Gets whether the model has been computed.
(Inherited from Model) |
Independent | Gets a matrix whose columns contain the independent variables in the model. |
Input |
Gets the schema for the features used for fitting the model.
(Inherited from Model) |
Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model) |
Model |
Gets the collection of variables used in the model.
(Inherited from Model) |
Number |
Gets the number of observations the model is based on.
(Inherited from Model) |
Parallel |
Gets or sets an object that specifies how the calculation of the model should be parallelized.
(Inherited from Model) |
Predicted | Gets a vector containing the model's predicted values for the dependent variable. |
Predicted | Gets a vector containing the model's predicted values for the dependent variable. |
Predictions | Gets a vector containing the model's predicted values for the dependent variable. |
Probability | Gets a matrix containing the residuals of the model. |
Status |
Gets the status of the model, which determines which information is available.
(Inherited from Model) |
Supports |
Indicates whether the model supports case weights.
(Inherited from Model) |
Weights |
Gets or sets the actual weights.
(Inherited from Model) |