# syntax=docker/dockerfile:1.4
ARG _DEV_CONTAINERS_BASE_IMAGE=placeholder
FROM tensorflow/tensorflow:latest-gpu-jupyter AS dev_container_auto_added_stage_label
WORKDIR "/tmp"

RUN pip install pandas\
    sklearn\
    seaborn\
    mlflow\






FROM $_DEV_CONTAINERS_BASE_IMAGE AS dev_containers_target_stage

USER root

COPY --from=dev_containers_feature_content_source . /tmp/build-features/







ARG _DEV_CONTAINERS_IMAGE_USER=root
USER $_DEV_CONTAINERS_IMAGE_USER

LABEL devcontainer.metadata="{\"postStartCommand\":\"nohup bash -c 'jupyter notebook --ip=0.0.0.0 --port=8888 --allow-root --NotebookApp.token=jupdevtoken &'\",\"customizations\":{\"vscode\":{\"extensions\":[\"ms-python.python\",\"ms-python.vscode-pylance\",\"ms-toolsai.jupyter\"]}},\"forwardPorts\":[8888,5000]}"