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Regression

Regression models predict a numeric value. In Aporia, these models are represented with the regression model type.
Examples of regression problems:
  • What will the temperature be in Seattle tomorrow?
  • For product X, how many units will sell?
  • How many days until this customer stops using the application?
  • What price will this house sell for?

Data Format In DB

Regression predictions are usually represented in a database with a numeric column. For example:
id
feature1 (numeric)
feature2 (boolean)
predicted_temperature (numeric)
actual_temperature (numeric)
timestamp (datetime)
1
13.5
True
22.83
24.12
2017-01-01 12:00:00
2
123
False
26.04
25.99
2017-01-01 12:01:00
3
42
True
29.01
11.12
2017-01-01 12:02:00
To integrate this type of model follow our Quickstart.
Check out the data sources section for more information about how to connect from different data sources.