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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