Defining features for a feature store
Before creating a feature store, you need to ensure that features are formally defined, in order to ensure the feature store knows the relationships, type, and structure of the features to be loaded. In this exercise, you will formally define a number of features in preparation for the creation of a feature store. Field is imported for you from feast.
This exercise is part of the course
End-to-End Machine Learning
Exercise instructions
- Define the
cp,thalach,ca,thalfeatures using Feast'sFieldclass.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Define entity and selected features
patient = Entity(name="patient", join_keys=["patient_id"])
cp = ____(name=____, dtype=Float32)
thalach = ____(name=____, dtype=Int32)
ca = ____(name=____, dtype=Int32)
thal = ____(name=____, dtype=Int32)