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.