I have recently started using the time series models in data robot for monthly data of mine. I was able to train this data and get a model. However, when forecasting for future values, it is only doing so for 3 months into the future. How can I change this forecast distance/forecast window to encompass a larger range of months. Note I use python to communicate with the data robot api so an answer in python would be great. Thanks.
'''provide a project name, and the dataframe for training
1. Create project
2. Set specifications for time-series modeling
3. Start project'''
project = dr.Project.create(project_name=projectName, sourcedata=data_df)
mySpec = dr.DatetimePartitioningSpecification(
target = ts_settings['target'],
partitioning_method = mySpec,
mode=dr.AUTOPILOT_MODE.FULL_AUTO ##### Here is where we can change to dr.AUTOPILOT_MODE.FULL_AUTO
project.wait_for_autopilot() ##Wait for autopilot to finish
#Create and Start Project
project = start_modeling(ts_settings['project_name'],ts_settings['use_time_series'])
Also, you can find a full python solution for time-series in here