Arima
            
            
            
            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) |