To configure the **Time series options**, under **Time series prediction method**, select [**Forecast point** or **Forecast range**](ts-predictions#forecast-settings).

=== "Make predictions from a single forecast point"

    Select the _forecast point_ option to choose the specific date from which you want to begin making predictions, and then, under **Forecast point** define a **Selection** method:

    * **Set automatically**: DataRobot sets the forecast point for you based on the scoring data.

        ![](images/ts-pred-jobs-makepred-1.png) 

    * **Relative**: Set a forecast point by the **Offset from job time**, configuring the number of **Months**, **Days**, **Hours**, and **Minutes** to offset from scheduled job runtime. Click **Before job time** or **After job time**, depending on how you want to apply the offset.
  
        ![](images/ts-batch-pred-jobs-forecast-pt-relative.png)

    * **Set manually**: Set a specific date range using the date selector, configuring the **Start** and **End** dates manually.
    
        ![](images/ts-batch-pred-jobs-forecast-pt-fixed.png)

=== "Get predictions from a range of dates"

    Select the _forecast range_ option if you intend to make bulk, historical predictions (instead of forecasting future rows from the forecast point) and then, under **Prediction** range selection, define a **Selection** method: 
    
    * **Automatic**: Predictions use all forecast distances within the selected time range. 
    
    * **Manual**: Set a specific date range using the date selector, configuring the **Start** and **End** dates manually.

    ![](images/ts-makepred-2.png) 

In addition, you can click **Show advanced options** and enable **Ignore missing values in known-in-advance columns** to make predictions even if the provided source dataset is missing values in the known-in-advance columns; however, this may negatively impact the computed predictions. 
