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.

Deze oefening maakt deel uit van de cursus

End-to-End Machine Learning

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Oefeninstructies

Define the cp, thalach, ca, thal features using Feast's Field class.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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)

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