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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.

Questo esercizio fa parte del corso

End-to-End Machine Learning

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Istruzioni dell'esercizio

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

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# 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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