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.

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