Example about an IRIS production using IntegratedML Time Series capabilities to get predictions about the passengers for the “Metro de Valencia” subway system.
You can find more in-depth information in https://learning.intersystems.com.
New to IRIS Interoperability framework? Have a look at IRIS Interoperability Intro Workshop.
Build the image we will use during the workshop:
$ git clone https://github.com/intersystems-ib/workshop-timeseries-csv $ cd workshop-timeseries-csv $ docker-compose build
The main purpose of this example is to get predictions about the number of passengers in the following three months. We are going to build our table to train the model using the data of passengers by line for the previous 6 years. To feed our system with these data we are going to use the Record Mapper functionality of IRIS to import these data from a CSV file.
docker-compose up -d
Automatically an IRIS instance will be deployed and a production will be configured and run available to import data, create the prediction model and train it.