docker.io/kserve/sklearnserver:v0.15.2 linux/amd64

docker.io/kserve/sklearnserver:v0.15.2 - 国内下载镜像源 浏览次数:8

docker.io/kserve/sklearnserver是KServe项目提供的Scikit-learn模型服务容器,用于在云原生环境中部署和服务Scikit-learn训练得到的模型,支持通过标准化接口接收推理请求并返回预测结果,助力开发者快速将Scikit-learn模型转化为可对外提供服务的应用。

源镜像 docker.io/kserve/sklearnserver:v0.15.2
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2
镜像ID sha256:5ab425853e1abe0c886d6d47422f0b758008c0fc2636860988694b46209075d9
镜像TAG v0.15.2
大小 551.80MB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 python -m sklearnserver
工作目录
OS/平台 linux/amd64
浏览量 8 次
贡献者
镜像创建 2025-05-27T07:21:06.689400814Z
同步时间 2026-03-12 16:14
环境变量
PATH=/prod_venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.11.12 PYTHON_SHA256=849da87af4df137710c1796e276a955f7a85c9f971081067c8f565d15c352a09 VIRTUAL_ENV=/prod_venv

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2  docker.io/kserve/sklearnserver:v0.15.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2  docker.io/kserve/sklearnserver:v0.15.2

Shell快速替换命令

sed -i 's#kserve/sklearnserver:v0.15.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2  docker.io/kserve/sklearnserver:v0.15.2'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kserve/sklearnserver:v0.15.2  docker.io/kserve/sklearnserver:v0.15.2'

镜像构建历史


# 2025-05-27 15:21:06  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["python" "-m" "sklearnserver"]
                        
# 2025-05-27 15:21:06  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-05-27 15:21:06  278.09KB 复制新文件或目录到容器中
COPY sklearnserver sklearnserver # buildkit
                        
# 2025-05-27 15:21:06  4.26MB 复制新文件或目录到容器中
COPY kserve kserve # buildkit
                        
# 2025-05-27 15:21:06  417.03MB 复制新文件或目录到容器中
COPY --chown=kserve:kserve /prod_venv /prod_venv # buildkit
                        
# 2025-05-27 15:21:03  374.37KB 复制新文件或目录到容器中
COPY --chown=kserve:kserve third_party third_party # buildkit
                        
# 2025-05-27 15:20:18  8.91KB 执行命令并创建新的镜像层
RUN |1 VENV_PATH=/prod_venv /bin/sh -c useradd kserve -m -u 1000 -d /home/kserve # buildkit
                        
# 2025-05-27 15:20:18  0.00B 设置环境变量 PATH
ENV PATH=/prod_venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-27 15:20:18  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/prod_venv
                        
# 2025-05-27 15:20:18  0.00B 定义构建参数
ARG VENV_PATH=/prod_venv
                        
# 2025-05-09 06:27:23  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-05-09 06:27:23  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-05-09 06:27:23  45.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "$gnuArch" != 'riscv64-linux-musl' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -r dpkg-query --search 		| cut -d: -f1 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=849da87af4df137710c1796e276a955f7a85c9f971081067c8f565d15c352a09
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.12
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-05-09 06:27:23  9.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-09 06:27:23  74.81MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1747699200'
                        
                    

镜像信息

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更多版本

docker.io/kserve/sklearnserver:v0.15.0

linux/amd64 docker.io536.00MB2025-04-17 16:34
230

docker.io/kserve/sklearnserver:v0.16.0

linux/amd64 docker.io562.12MB2026-01-28 19:12
77

docker.io/kserve/sklearnserver:v0.15.2

linux/amd64 docker.io551.80MB2026-03-12 16:14
7