environments ai ml automl

ai-ml-automl

Overview

An environment used by Azure ML AutoML for training models.

Version: 14

Tags

OS : Ubuntu20.04 Training Preview OpenMpi : 4.1.0 Python : 3.9

View in Studio: https://ml.azure.com/registries/azureml/environments/ai-ml-automl/version/14

Docker image: mcr.microsoft.com/azureml/curated/ai-ml-automl:14

Docker build context

Dockerfile

FROM mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:20241215.v1


ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/azureml-automl
ENV PATH $AZUREML_CONDA_ENVIRONMENT_PATH/bin:$PATH

COPY --from=mcr.microsoft.com/azureml/mlflow-ubuntu20.04-py38-cpu-inference:20230306.v3 /var/mlflow_resources/mlflow_score_script.py /var/mlflow_resources/mlflow_score_script.py

ENV MLFLOW_MODEL_FOLDER="mlflow-model"
# ENV AML_APP_ROOT="/var/mlflow_resources"
# ENV AZUREML_ENTRY_SCRIPT="mlflow_score_script.py"

ENV ENABLE_METADATA=true

# begin conda create
# Create conda environment
RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
    python=3.9 \
    # begin conda dependencies
    pip \
    py-cpuinfo=5.0.0 \
    joblib=1.2.0 \
    setuptools-git \
    'psutil>5.0.0,<6.0.0' \
    pytorch=2.2.2 \
    # end conda dependencies
    -c conda-forge -c pytorch -c anaconda -c nvidia && \
    conda run -p $AZUREML_CONDA_ENVIRONMENT_PATH && \
    conda clean -a -y
# end conda create

# begin pip install
# Install pip dependencies
RUN pip install \
                # begin pypi dependencies
                azureml-core==1.59.0 \
                azureml-mlflow==1.59.0 \
                azureml-pipeline-core==1.59.0 \
                azureml-telemetry==1.59.0 \
                azureml-interpret==1.59.0 \
                azureml-responsibleai==1.59.0 \
                azureml-automl-core==1.59.0 \
                azureml-automl-runtime==1.59.0 \
                azureml-train-automl-client==1.59.0 \
                azureml-train-automl-runtime==1.59.0 \
                azureml-train-automl==1.59.0 \
                azureml-dataset-runtime==1.59.0 \
                azureml-defaults==1.59.0 \
                # TODO: replace the hard coded above by a referenceto azureml-train-automl[tabular]
                'mlflow-skinny==2.15.1' \
                'xgboost==1.5.2' \
                'prophet==1.1.4' \
                'inference-schema' \
                'mltable>=1.0.0'
                # end pypi dependencies
# end pip install

# begin pip ad-hoc
# Install pip ad-hoc dependencies for security updates
RUN pip install --upgrade 'pyarrow==14.0.2'
# end pip ad-hoc