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Regression models predict a
numericvalue. In Aporia, these models are represented with the
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?
Regression predictions are usually represented in a database with a
numericcolumn. For example:
To monitor this model, we will create a new model version with a schema that includes a
apr_model = aporia.create_model_version(
model_id="<MODEL_ID>", # You will need to create a model with this MODEL_ID in advance
To connect this model to Aporia from your data source, call the
# Map the actual_temperature column as the label for the
# Prediction name -> Column name