>>> service_instance = service("TESTSCHEMA_SNOWPARK_PYTHON.FORECAST_MODEL_SERVICE")
>>> # Prepare a DataFrame with the ten expected features
>>> df = session.create_dataframe(
... [
... (0.038076, 0.050680, 0.061696, 0.021872, -0.044223, -0.034821, -0.043401, -0.002592, 0.019907, -0.017646),
... ],
... schema=["age", "sex", "bmi", "bp", "s1", "s2", "s3", "s4", "s5", "s6"],
... )
>>> # Invoke the model's predict method exposed by the service
>>> result_df = df.select(
... service_instance("predict")(col("age"), col("sex"), col("bmi"), col("bp"), col("s1"), col("s2"), col("s3"), col("s4"), col("s5"), col("s6"))["output_feature_0"]
... )
>>> result_df.show()
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