Overview

The Forecast tab enables you generate a forecast for a mapped feature from your uploaded .csv. After configuring the date range, model, steps, and imputation, click Forecast to produce the prediction.

What you can do here

• Select a feature (from your mapped CSV) to forecast.

• Configure Start Date, End Date, Forecast Model, Forecast Steps, and Imputation.

• View historical + forecast results.

• Export the forecast as a CSV.

Accessing Forecast Tab

Follow these steps after you’ve uploaded and mapped your .csv in the workspace.

To access the forecast tab, do the following:

1. Open your Workspace that contains the mapped .csv.
2. Select Insights tab and then click the Forecast tab.

The Forecast page is displayed. In the page, you will see controls for:

• Features 1 (picked from the uploaded .csv)

• Forecasting Config:

  • Start Date, End Date
  • Forecast Model: Holtwinters, Sarimax, SEQ25SEQ, Sktime_Naive, Arima
  • Forecast Steps: numeric value (e.g., 10)
  • Imputation: Zero, Average, Previous Value

• Forecast button

Understanding the Interface

Control	What it is	Notes
Features 1	The feature/series from your mapped CSV	Pick the column you want to forecast.
Start Date / End Date	The historical window used for training/plotting	Choose dates within your mapped data’s range.
Forecast Model	Algorithm used to generate the forecast	Options: Holtwinters, Sarimax, SEQ25SEQ, Sktime_Naive, Arima.
Forecast Steps	How many future points to predict	Type a number, e.g., 10.
Imputation	How to fill missing values	Zero, Average, Previous Value.
Forecast (button)	Runs the forecast with your settings	Displays historical + forecast view after completion.