harupy commented on PR #39467: URL: https://github.com/apache/spark/pull/39467#issuecomment-1376753692
I was able to reproduce the issue. The root cause is this line: https://github.com/mlflow/mlflow/blob/d2ae53af1af2b7908d294749996fc30866af3bd2/mlflow/pyfunc/__init__.py#L1055 ``` if pdf is None: print(args) args = list(args) if input_schema is None: names = [str(i) for i in range(len(args))] else: names = input_schema.input_names() if len(args) > len(names): args = args[: len(names)] if len(args) < len(names): raise MlflowException( "Model input is missing columns. Expected {} input columns {}," " but the model received only {} unnamed input columns" " (Since the columns were passed unnamed they are expected to be in" " the order specified by the schema).".format(len(names), names, len(args)) ) pdf = pandas.DataFrame(data={names[i]: x for i, x in enumerate(args)}, columns=names) 👈👈👈 this line print(pdf) ``` This line creates a dataframe with columns that look like `["0", "1", ...]` unless `input_schema` is specified. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
