Logistic
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.
(Inherited from ClassificationModel<T>) |
| Category |
Gets the category index of the dependent variable or targets.
(Inherited from ClassificationModel<T>) |
| Computed |
Gets whether the model has been computed.
(Inherited from Model) Obsolete. |
| Convergence | Gets the convergence status of the algorithm that computes the model parameters. |
| Covariance |
Gets the covariance matrix of the model parameters.
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.
(Inherited from ClassificationModel<T>) |
| Fitted |
Gets whether the model has been computed.
(Inherited from Model) |
| Independent |
Gets a matrix whose columns contain the independent variables in the model.
(Inherited from ClassificationModel<T>) |
| Input |
Gets the schema for the features used for fitting the model.
(Inherited from Model) |
| Log | Gets the log-likelihood of the fitted model. |
| Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model) |
| Method | Gets or sets the kind of logistic regression represented by this LogisticRegressionModel. |
| 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) |
| Parameters | Gets the collection of parameters associated with this model. |
| Parameter | Gets the collection of parameters associated with this model. |
| Predicted |
Gets a vector containing the model's predicted values for the dependent variable.
(Inherited from ClassificationModel<T>) |
| Predicted |
Gets a vector containing the model's predicted values for the dependent variable.
(Inherited from ClassificationModel<T>) |
| Predictions |
Gets a vector containing the model's predicted values for the dependent variable.
(Inherited from ClassificationModel<T>) |
| Probability |
Gets a matrix containing the residuals of the model.
(Inherited from ClassificationModel<T>) |
| 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) |