environments model evaluation - Azure/azureml-assets GitHub Wiki
Environment for evaluating mlflow models.
Version: 41
OS : Ubuntu20.04
Evaluation
MLFlow : 2.16.0
View in Studio: https://ml.azure.com/registries/azureml/environments/model-evaluation/version/41
Docker image: mcr.microsoft.com/azureml/curated/model-evaluation:41
# PTCA Image (enabling Singularity Support)
FROM mcr.microsoft.com/aifx/acpt/stable-ubuntu2004-cu118-py310-torch222:biweekly.202412.3
RUN apt-get update && apt-get -y upgrade
WORKDIR /
ENV CONDA_PREFIX=/azureml-envs/model-evaluation
ENV CONDA_DEFAULT_ENV=$CONDA_PREFIX
COPY conda.yaml .
# Create conda environment
RUN conda env create -p $CONDA_PREFIX -f conda.yaml -q && \
rm conda.yaml && \
conda run -p $CONDA_PREFIX pip cache purge && \
conda clean -a -y
# clean conda and pip caches
RUN rm -rf ~/.cache/pip
# Prepend path to AzureML conda environment
ENV PATH=$CONDA_PREFIX/bin:$PATH
# This is needed for mpi to locate libpython
ENV LD_LIBRARY_PATH $CONDA_PREFIX/lib:$LD_LIBRARY_PATH
# Temp fix for env vuln
RUN pip install mlflow==2.16.0