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Posted to issues@spark.apache.org by "Yikun Jiang (Jira)" <ji...@apache.org> on 2022/11/19 01:52:00 UTC

[jira] [Resolved] (SPARK-41186) Fix doctest for new version mlfow

     [ https://issues.apache.org/jira/browse/SPARK-41186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yikun Jiang resolved SPARK-41186.
---------------------------------
    Fix Version/s: 3.4.0
       Resolution: Fixed

Issue resolved by pull request 38698
[https://github.com/apache/spark/pull/38698]

> Fix doctest for new version mlfow
> ---------------------------------
>
>                 Key: SPARK-41186
>                 URL: https://issues.apache.org/jira/browse/SPARK-41186
>             Project: Spark
>          Issue Type: Bug
>          Components: Tests
>    Affects Versions: 3.4.0
>            Reporter: Yikun Jiang
>            Assignee: Yikun Jiang
>            Priority: Major
>             Fix For: 3.4.0
>
>
>                                                                                 
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 168, in pyspark.pandas.mlflow.load_model
> Failed example:
>     run_info = client.list_run_infos(exp_id)[-1]
> Exception raised:
>     Traceback (most recent call last):
>       File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest pyspark.pandas.mlflow.load_model[14]>", line 1, in <module>
>         run_info = client.list_run_infos(exp_id)[-1]
>     AttributeError: 'MlflowClient' object has no attribute 'list_run_infos'
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 169, in pyspark.pandas.mlflow.load_model
> Failed example:
>     model = load_model("runs:/{run_id}/model".format(run_id=run_info.run_uuid))
> Exception raised:
>     Traceback (most recent call last):
>       File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest pyspark.pandas.mlflow.load_model[15]>", line 1, in <module>
>         model = load_model("runs:/{run_id}/model".format(run_id=run_info.run_uuid))
>     NameError: name 'run_info' is not defined
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 171, in pyspark.pandas.mlflow.load_model
> Failed example:
>     prediction_df["prediction"] = model.predict(prediction_df)
> Exception raised:
>     Traceback (most recent call last):
>       File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest pyspark.pandas.mlflow.load_model[17]>", line 1, in <module>
>         prediction_df["prediction"] = model.predict(prediction_df)
>     NameError: name 'model' is not defined
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 172, in pyspark.pandas.mlflow.load_model
> Failed example:
>     prediction_df
> Expected:
>         x1   x2  prediction
>     0  2.0  4.0    1.355551
> Got:
>         x1   x2
>     0  2.0  4.0
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 178, in pyspark.pandas.mlflow.load_model
> Failed example:
>     model.predict(prediction_df[["x1", "x2"]].to_pandas())
> Exception raised:
>     Traceback (most recent call last):
>       File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest pyspark.pandas.mlflow.load_model[19]>", line 1, in <module>
>         model.predict(prediction_df[["x1", "x2"]].to_pandas())
>     NameError: name 'model' is not defined
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 189, in pyspark.pandas.mlflow.load_model
> Failed example:
>     y = model.predict(features)
> Exception raised:
>     Traceback (most recent call last):
>       File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest pyspark.pandas.mlflow.load_model[22]>", line 1, in <module>
>         y = model.predict(features)
>     NameError: name 'model' is not defined
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 198, in pyspark.pandas.mlflow.load_model
> Failed example:
>     features['y'] = y
> Exception raised:
>     Traceback (most recent call last):
>       File "/usr/lib/python3.9/doctest.py", line 1336, in __run
>         exec(compile(example.source, filename, "single",
>       File "<doctest pyspark.pandas.mlflow.load_model[25]>", line 1, in <module>
>         features['y'] = y
>     NameError: name 'y' is not defined
> **********************************************************************
> File "/__w/spark/spark/python/pyspark/pandas/mlflow.py", line 200, in pyspark.pandas.mlflow.load_model
> Failed example:
>     everything
> Expected:
>         x1   x2  z         y
>     0  2.0  3.0 -1  1.376932
> Got:
>         x1   x2  z
>     0  2.0  3.0 -1
> **********************************************************************
>    8 of  26 in pyspark.pandas.mlflow.load_model



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