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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
The text was updated successfully, but these errors were encountered:
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 ?Thanks
The text was updated successfully, but these errors were encountered: