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bmchelix/hedge-ml-trg-classification-randomforest:486061a

Internet of things
Machine learning & AI
Data science
Manifest digest

sha256:7d5e93c25f2daeffa1a66d7e1cbce6336fe09a3890ac80a77b0e2f5d7307baae

OS/ARCH

linux/amd64

Compressed size

587.1 MB

Last pushed

over 1 year by bmchelix

Type

Image

Manifest digest

sha256:7d5e93c25f2daeffa1a66d7e1cbce6336fe09a3890ac80a77b0e2f5d7307baae

Image Layers

Image Layers

1ADD alpine-minirootfs-3.21.3-x86_64.tar.gz / # buildkit3.47 MB
2CMD ["/bin/sh"]0 B
3ARG GLIBC_VERSION=2.410 B
4ARG TARGETARCH=amd640 B
5RUN |2 GLIBC_VERSION=2.41 TARGETARCH=amd64 /bin/sh3.87 MB
6USER root0 B
7RUN /bin/sh -c apk update8.06 MB
8ENV LANG=C.UTF-80 B
9ENV LC_ALL=en_US.utf80 B
10ENV PYTHONPATH=/opt/hedge0 B
11ENV PATH=/opt/hedge/python/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
12WORKDIR /opt/hedge115 B
13ARG SHA256_HASH=4da8dde69eca0d9bc31420349a204851bfa2a1c87aeb87fe0c05517797edaac40 B
14RUN |1 SHA256_HASH=4da8dde69eca0d9bc31420349a204851bfa2a1c87aeb87fe0c05517797edaac4 /bin/sh -c297.25 MB
15RUN |1 SHA256_HASH=4da8dde69eca0d9bc31420349a204851bfa2a1c87aeb87fe0c05517797edaac4 /bin/sh -c19.97 KB
16RUN |1 SHA256_HASH=4da8dde69eca0d9bc31420349a204851bfa2a1c87aeb87fe0c05517797edaac4 /bin/sh -c7.19 MB
17RUN |1 SHA256_HASH=4da8dde69eca0d9bc31420349a204851bfa2a1c87aeb87fe0c05517797edaac4 /bin/sh -c951 B
18RUN |1 SHA256_HASH=4da8dde69eca0d9bc31420349a204851bfa2a1c87aeb87fe0c05517797edaac4 /bin/sh -c132.16 MB
19USER edgex0 B
20ENV PYTHONDONTWRITEBYTECODE=10 B
21ENV PYTHONUNBUFFERED=10 B
22ENTRYPOINT ["python" "-V"]0 B
23USER root0 B
24WORKDIR /hedge95 B
25ARG ROOT_FOLDER=edge-ml-service/python-code/classification/random_forest0 B
26COPY edge-ml-service/python-code/classification/random_forest/train/requirements.txt requirements.txt # buildkit289 B
27COPY edge-ml-service/python-code/classification/random_forest/env.yaml classification/random_forest/env.yaml # buildkit333 B
28ENV LOCAL=False0 B
29RUN |1 ROOT_FOLDER=edge-ml-service/python-code/classification/random_forest /bin/sh -c162 B
30RUN |1 ROOT_FOLDER=edge-ml-service/python-code/classification/random_forest /bin/sh -c135.04 MB
31COPY edge-ml-service/python-code/classification/random_forest/../../common/ common/ # buildkit11.29 KB
32COPY edge-ml-service/python-code/classification/random_forest/train/ train/ # buildkit4.18 KB
33RUN |1 ROOT_FOLDER=edge-ml-service/python-code/classification/random_forest /bin/sh -c15.24 KB
34USER edgex0 B
35ENV PYTHONPATH=/hedge0 B
36ENTRYPOINT ["python" "./train/src/main/task.py"]0 B

Command

ADD alpine-minirootfs-3.21.3-x86_64.tar.gz / # buildkit