Model Training

Model training is the process of training the algorithm with the available historical actuals data to generate AI-driven statistical ranges for signals. You can select the required Scenario, Dimension, Month, and Signals Range from the respective fields. It is an integral step after enabling the Predict Signals functionality and selecting the Pre-computation Scenarios.

• Planful recommends that there are at least 48 months of historical actuals data. However, the algorithm requires a minimum of 36 months of historical actuals to generate proper data-driven signals. Also, signal detection will be more effective with a greater number of historical actuals periods.

• Once you select Train Model, you do not have to explicitly click Scenario Pre-computation, as this process will automatically be executed as part of Model Training for the selected Scenario.

• When you make changes to the budget/forecast data for which you had earlier run the model training, you just have to run the pre-computation and not the model training process.

• As and when new actuals are captured by the system for the ongoing financial year, you must initiate the Model Training process to calculate signals based on the latest data. However, Planful recommends initiating the model training once every 3 to 6 months.

• You will receive an email notification once the Model training process is completed. You will see a message on the application screen once you refresh the application post the Model training.