Complete the code to load features from a feature store client.
features = feature_store_client.[1]('user_features')
The method get_features is used to retrieve features from the feature store.
Complete the code to write features into the feature store.
feature_store_client.[1](features_df, 'transaction_features')
The method write_features is used to save or write features into the feature store.
Fix the error in the code to retrieve a feature vector by its key.
feature_vector = feature_store_client.get_feature_vector([1]='user_123')
The correct parameter name to specify the key for the feature vector is key.
Fill both blanks to create a feature store client and connect to the store.
client = FeatureStoreClient([1]='[2]')
The client is created by specifying the endpoint parameter with the URL of the feature store.
Fill all three blanks to define a feature group with name, version, and description.
feature_group = FeatureGroup(name='[1]', version=[2], description='[3]')
The feature group is named 'user_activity', version is 1, and the description explains it stores user activity features.