Please find mlflow docker images from mlflow docker hub repository.
Run following command
docker run -d -p 5000:5000 burakince/mlflow
Mlflow Docker Image
License: MIT License
Please find mlflow docker images from mlflow docker hub repository.
Run following command
docker run -d -p 5000:5000 burakince/mlflow
Need to upgrade MLFlow to greater than 2.2.1
Describe the bug
When we try to use mlflow docker image on arm64 architecture with Postgres connection, the driver returns the following error.
(psycopg2.OperationalError) SCRAM authentication requires libpq version 10 or above
To Reproduce
Steps to reproduce the behavior:
Expected behavior
It must start to connect PostgreSQL database.
** Tested system:**
Additional context
You can find more information from this issue.
Hi,
I understand the purpose of the project to build a docker with not only mlflow but also sql, s3, ... dependencies, but I'm unsure about
why the Dockerfile is like it is
I understand the multi-stage docker purpose, but here why can't we just install the dependencies like the following, I don't understnad the lib installation part not the Install build-essential to compile extensions
comment ?
FROM python:3.9.16-slim
WORKDIR /mlflow/
COPY pyproject.toml poetry.toml poetry.lock /mlflow/
RUN python -m pip install --upgrade pip
RUN pip install poetry wheel && poetry install --no-root --no-dev
ENV PATH=/mlflow/.venv/bin:$PATH
ENV PYTHONUNBUFFERED 1
CMD mlflow server --backend-store-uri sqlite:///:memory --default-artifact-root ./mlruns --host=0.0.0.0 --port=5000
Thanks
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