Features can be read in two modes latest and for target

Reading latest features

df_latest = spark.read.table("odap_features.features_client_latest")

Reading features for target

%run ../init/target_store

dbutils.widgets.text("target", "")

Insert target name into the created widget, e.g. First mortgage payment

feature_lookups = [
    FeatureLookup(
        table_name="odap_features_customer.product_features",
        feature_names=[
            "investice_web_visits_count_in_last_14d",
            "pujcky_web_visits_count_in_last_14d",
        ],
        lookup_key="customer_id",
        timestamp_lookup_key="timestamp",
    ),
    FeatureLookup(
        table_name="odap_features_customer.simple_features",
        feature_names=[
            "customer_email",
        ],
        lookup_key="customer_id",
        timestamp_lookup_key="timestamp",
    )
]

training_set = fs.create_training_set(
    spark.table("target_store"),
    feature_lookups=feature_lookups,
    label="target",
)
training_df = training_set.load_df()
training_df.display()