bstollnitz / aml_command_cli Goto Github PK

$ mlflow models predict --model-uri "model" --input-path "test_data/images.json" --content-type json
/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.1
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
2022/12/08 12:37:11 INFO mlflow.models.cli: Selected backend for flavor 'python_function'
2022/12/08 12:37:12 INFO mlflow.utils.conda: Conda environment mlflow-1433535863ef053dea37ca28e47daf2bbabfb74f already exists.
2022/12/08 12:37:12 INFO mlflow.pyfunc.backend: === Running command 'source /home/myuser/.local/lib/miniconda3/bin/../etc/profile.d/conda.sh && conda activate mlflow-1433535863ef053dea37ca28e47daf2bbabfb74f 1>&2 && python -c "from mlflow.pyfunc.scoring_server import _predict; _predict(model_uri='file:///home/myuser/code/external/aml_command_cli/aml_command_cli/model', input_path='test_data/images.json', output_path=None, content_type='json', json_format='split')"'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
TypeError: _predict() got an unexpected keyword argument 'json_format'
Traceback (most recent call last):
  File "/home/myuser/code/external/aml_command_cli/.conda-env/bin/mlflow", line 11, in <module>
    sys.exit(cli())
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
    return self.main(*args, **kwargs)
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/click/core.py", line 1053, in main
    rv = self.invoke(ctx)
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/click/core.py", line 754, in invoke
    return __callback(*args, **kwargs)
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/mlflow/models/cli.py", line 125, in predict
    return _get_flavor_backend(
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/mlflow/pyfunc/backend.py", line 126, in predict
    return _execute_in_conda_env(
  File "/home/myuser/code/external/aml_command_cli/.conda-env/lib/python3.10/site-packages/mlflow/pyfunc/backend.py", line 389, in _execute_in_conda_env
    raise Exception(
Exception: Command 'source /home/myuser/.local/lib/miniconda3/bin/../etc/profile.d/conda.sh && conda activate mlflow-1433535863ef053dea37ca28e47daf2bbabfb74f 1>&2 && python -c "from mlflow.pyfunc.scoring_server import _predict; _predict(model_uri='file:///home/myuser/code/external/aml_command_cli/aml_command_cli/model', input_path='test_data/images.json', output_path=None, content_type='json', json_format='split')"' returned non zero return code. Return code = 1