Arima Model Properties
Properties
| Auto | Gets or sets the number of auto-regressive terms in the ARIMA model. |
| Auto | Gets the parameters corresponding to the auto-regressive terms in the model. |
| Base |
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model) |
| Computed |
Gets whether the model has been computed.
(Inherited from Model) Obsolete. |
| Covariance |
Gets the covariance matrix of the model parameters.
(Inherited from TimeSeriesModel<T>) |
| Data |
Gets an object that contains all the data used as input to the model.
(Inherited from Model) |
| Degree | Gets or sets the degree of differencing of the ARIMA model. |
| Degrees |
Gets the total degrees of freedom of the data.
(Inherited from TimeSeriesModel<T>) |
| Error | Gets the error variance of the time series. |
| Estimate | Gets or sets whether the model contains a constant (mean) term. |
| Fitted |
Gets whether the model has been computed.
(Inherited from Model) |
| Input |
Gets the schema for the features used for fitting the model.
(Inherited from Model) |
| Log |
Gets the log-likelihood that the model generated the data.
(Inherited from TimeSeriesModel<T>) |
| Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model) |
| Mean | Gets or sets the mean of the time series. |
| Model |
Gets the collection of variables used in the model.
(Inherited from Model) |
| Moving | Gets or sets the number of moving average terms in the ARIMA model. |
| Moving | Gets the parameters corresponding to the moving averagw terms in the 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.
(Inherited from TimeSeriesModel<T>) |
| Parameter |
Gets the collection of parameters associated with this model.
(Inherited from TimeSeriesModel<T>) |
| Predictions |
Gets a vector containing the model's predicted values for the dependent variable.
(Inherited from TimeSeriesModel<T>) |
| Pseudo | Gets the pseudo R Squared value for the ARIMA model. |
| Residuals |
Gets a vector containing the residuals of the model.
(Inherited from TimeSeriesModel<T>) |
| Residual |
Gets the sum of squares of the residuals of the model.
(Inherited from TimeSeriesModel<T>) |
| Standard |
Gets the standard error of the regression.
(Inherited from TimeSeriesModel<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) |
| Time |
Gets the time series that is being modeled.
(Inherited from TimeSeriesModel<T>) |
| Weights |
Gets or sets the actual weights.
(Inherited from Model) |