[BUG]Model Registry is not working from the UI.

[ashwinpatil05]

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System information

• Have I written custom code (as opposed to using a stock example script provided in MLflow):
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  System Version: macOS 10.15 (19A602)
  Kernel Version: Darwin 19.0.0
• MLflow installed from (source or binary):
  pip install mlflow==1.4.0 (from pypi)
• MLflow version (run mlflow --version):
  mlflow, version 1.4.0
• Python version:
  Python 3.6.5 :: Anaconda, Inc.
• npm version, if running the dev UI:
  6.4.1
• Exact command to reproduce:

Describe the problem

Model Registry is not working from the UI.

Started Mlflow Server with "mlflow server" command on local machine.
I can able to see the UI.
but when go to Run >> Model >> Register Model >> create new model >> register.

I get error on UI "INTERNAL_SERVER_ERROR"

Code to reproduce issue

I have installed 1.4.0 and started server.

Other info / logs

2019/11/11 22:01:26 ERROR mlflow.server: Exception on /ajax-api/2.0/preview/mlflow/model-versions/search [GET]
Traceback (most recent call last):
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/flask/app.py", line 2446, in wsgi_app
response = self.full_dispatch_request()
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/flask/app.py", line 1951, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/flask/app.py", line 1820, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
raise value
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/flask/app.py", line 1949, in full_dispatch_request
rv = self.dispatch_request()
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/flask/app.py", line 1935, in dispatch_request
return self.view_functionsrule.endpoint
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/mlflow/server/handlers.py", line 137, in wrapper
return func(*args, **kwargs)
File "/Users/ashwin/Work/MlFlow/venv/lib/python3.6/site-packages/mlflow/server/handlers.py", line 581, in _search_model_versions
model_versions_detailed = _get_model_registry_store().search_model_versions(
AttributeError: 'NoneType' object has no attribute 'search_model_versions'

[sueann]

do you mind sharing your mlflow server command? The model registry requires a sql backend as filestore is not supported for it. so you will need to specify a non-default backend — sqlite is probably easiest to set up.

[harupy]

@sueann
Everyone tries to use Model Registry with a file-based store and runs into the same error.

#1975
#2037
#2047

[ashwinpatil05]

@harupy @sueann Thank you.
I used sqlite as backend store, and its working now.
Closing the issue.

[graffam]

Any word on when a model registry with a file-based store will be available? This needs to be mentioned in the documentation.

[OlivierBondu]

Fully agree with @graffam that this needs to be mentioned in the doc, opening an issue on this. I had to randomly find this issue to understand my efforts where in vain 😅

[abhishekmm]

Hi all,
I tried using the sqlite as well as MYSQL on ubuntu system using following command :
mlflow server --backend-store-uri sqlite:///mlruns.db --default-artifact-root gs://mflowdemo/ --host 0.0.0.0
yet I am not ablet register the model from mlflow UI
mlflow --version
mlflow, version 1.10.0