session.sql("DESC FUNCTION PREDICT_RISK_SCORE()").show()

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# |"property"       |"value"                                             |
# ------------------------------------------------------------------------
# |signature        |()                                                  |
# |returns          |FLOAT                                               |
# |language         |PYTHON                                              |
# |null handling    |CALLED ON NULL INPUT                                |
# |volatility       |VOLATILE                                            |
# |body             |                                                    |
# |                 |import pickle                                       |
# |                 |                                                    |
# |                 |func = pickle.loads(bytes.fromhex('800595050400...  |
# |                 |# The following comment contains the UDF source...  |
# |                 |# import pandas as pd                               |
# |                 |# def read_file(filename):                          |
# |                 |#     import joblib                                 |
# |                 |#     import sys                                    |
# |                 |#     import os                                     |
# |                 |#                                                   |
# |                 |#     import_dir = sys._xoptions.get("snowflake...  |
# |                 |#     if import_dir:                                |
# |                 |#         with open(os.path.join(import_dir, fi...  |
# |                 |#             m = joblib.load(file)                 |
# |                 |#             return m                              |
# |                 |# @F.udf(name = 'predict_risk_score', is_perman...  |
# |                 |# def predict_risk_score(*args) -> PandasSeries...  |
# |                 |#     df = pd.DataFrame([args])                     |
# |                 |#     pipeline = read_file('predict_risk_score....  |
# |                 |#     return pipeline.predict_proba(df)[:,1]        |
# |                 |#                                                   |
# |                 |# func = predict_risk_score                         |
# |                 |#                                                   |
# |                 | *********RESULTS TRUNCATED**************           |
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