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# Change log: 1.9.0(cpu) | ||
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## Upgrades: | ||
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Package | Previous Version | Current Version | ||
---|---|--- | ||
amazon-sagemaker-sql-magic|0.1.1|0.1.3 | ||
amazon_sagemaker_sql_editor|0.1.7|0.1.9 | ||
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## What's new: | ||
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Package | Version | ||
---|--- | ||
amazon-q-developer-jupyterlab-ext|3.1.0 | ||
amazon-sagemaker-jupyter-ai-q-developer|1.0.4 |
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# Change log: 1.9.0(gpu) | ||
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## Upgrades: | ||
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Package | Previous Version | Current Version | ||
---|---|--- | ||
amazon-sagemaker-sql-magic|0.1.1|0.1.3 | ||
amazon_sagemaker_sql_editor|0.1.7|0.1.9 | ||
keras|2.15.0|2.14.0 | ||
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## What's new: | ||
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Package | Version | ||
---|--- | ||
amazon-q-developer-jupyterlab-ext|3.1.0 | ||
amazon-sagemaker-jupyter-ai-q-developer|1.0.4 | ||
tensorflow-gpu|2.14.0 |
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ARG TAG_FOR_BASE_MICROMAMBA_IMAGE | ||
FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE | ||
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ARG CUDA_MAJOR_MINOR_VERSION='' | ||
ARG ENV_IN_FILENAME | ||
ARG ARG_BASED_ENV_IN_FILENAME | ||
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ARG AMZN_BASE="/opt/amazon/sagemaker" | ||
ARG DB_ROOT_DIR="/opt/db" | ||
ARG DIRECTORY_TREE_STAGE_DIR="${AMZN_BASE}/dir-staging" | ||
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ARG NB_USER="sagemaker-user" | ||
ARG NB_UID=1000 | ||
ARG NB_GID=100 | ||
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# https://www.openssl.org/source/ | ||
ARG FIPS_VALIDATED_SSL=3.0.8 | ||
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ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/" | ||
ENV STUDIO_LOGGING_DIR="/var/log/studio/" | ||
ENV EDITOR="nano" | ||
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USER root | ||
RUN usermod "--login=${NB_USER}" "--home=/home/${NB_USER}" --move-home "-u ${NB_UID}" "${MAMBA_USER}" && \ | ||
groupmod "--new-name=${NB_USER}" --non-unique "-g ${NB_GID}" "${MAMBA_USER}" && \ | ||
# Update the expected value of MAMBA_USER for the | ||
# _entrypoint.sh consistency check. | ||
echo "${NB_USER}" > "/etc/arg_mamba_user" && \ | ||
: | ||
ENV MAMBA_USER=$NB_USER | ||
ENV USER=$NB_USER | ||
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RUN apt-get update && apt-get upgrade -y && \ | ||
apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git rsync build-essential openssh-client nano cron less mandoc && \ | ||
# We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly. | ||
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \ | ||
chmod g+w /etc/passwd && \ | ||
echo "ALL ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers && \ | ||
touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \ | ||
# Note that we do NOT run `rm -rf /var/lib/apt/lists/*` here. If we did, anyone building on top of our images will | ||
# not be able to run any `apt-get install` commands and that would hamper customizability of the images. | ||
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" && \ | ||
unzip awscliv2.zip && \ | ||
sudo ./aws/install && \ | ||
rm -rf aws awscliv2.zip && \ | ||
: | ||
RUN echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile | ||
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# CodeEditor - create server, user data dirs | ||
RUN mkdir -p /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data \ | ||
&& chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data | ||
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# create dir to store user data files | ||
RUN mkdir -p /opt/amazon/sagemaker/user-data \ | ||
&& chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/user-data | ||
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# Merge in OS directory tree contents. | ||
RUN mkdir -p ${DIRECTORY_TREE_STAGE_DIR} | ||
COPY dirs/ ${DIRECTORY_TREE_STAGE_DIR}/ | ||
RUN rsync -a ${DIRECTORY_TREE_STAGE_DIR}/ / && \ | ||
rm -rf ${DIRECTORY_TREE_STAGE_DIR} | ||
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# CodeEditor - download the extensions | ||
RUN mkdir -p /etc/code-editor/extensions && \ | ||
while IFS= read -r url || [ -n "$url" ]; do \ | ||
echo "Downloading extension from ${url}..." && \ | ||
wget --no-check-certificate -P /etc/code-editor/extensions "${url}"; \ | ||
done < /etc/code-editor/extensions.txt | ||
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USER $MAMBA_USER | ||
COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/ | ||
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# Make sure that $ENV_IN_FILENAME has a newline at the end before the `tee` command runs. Otherwise, nasty things | ||
# will happen. | ||
RUN if [[ -z $ARG_BASED_ENV_IN_FILENAME ]] ; \ | ||
then echo 'No ARG_BASED_ENV_IN_FILENAME passed' ; \ | ||
else envsubst < /tmp/$ARG_BASED_ENV_IN_FILENAME | tee --append /tmp/$ENV_IN_FILENAME ; \ | ||
fi | ||
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ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION | ||
RUN micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME && \ | ||
micromamba clean --all --yes --force-pkgs-dirs && \ | ||
rm -rf /tmp/*.in | ||
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ARG MAMBA_DOCKERFILE_ACTIVATE=1 | ||
RUN sudo ln -s $(which python3) /usr/bin/python | ||
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# Uninstall npm, node-gyp. These pull in dependency with restrictive license. | ||
RUN npm uninstall -g npm node-gyp | ||
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# Configure CodeEditor - Install extensions and set preferences | ||
RUN \ | ||
extensionloc=/opt/amazon/sagemaker/sagemaker-code-editor-server-data/extensions && mkdir -p "${extensionloc}" \ | ||
# Loop through all vsix files in /etc/code-editor/extensions and install them | ||
&& for ext in /etc/code-editor/extensions/*.vsix; do \ | ||
echo "Installing extension ${ext}..."; \ | ||
sagemaker-code-editor --install-extension "${ext}" --extensions-dir "${extensionloc}" --server-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-server-data --user-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-user-data; \ | ||
done \ | ||
# Copy the settings | ||
&& cp /etc/code-editor/code_editor_machine_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/Machine/settings.json | ||
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# Install glue kernels, and move to shared directory | ||
# Also patching base kernel so Studio background code doesn't start session silently | ||
RUN install-glue-kernels && \ | ||
SITE_PACKAGES=$(pip show aws-glue-sessions | grep Location | awk '{print $2}') && \ | ||
jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_pyspark --user && \ | ||
jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_spark --user && \ | ||
mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_pyspark /opt/conda/share/jupyter/kernels && \ | ||
mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_spark /opt/conda/share/jupyter/kernels && \ | ||
sed -i '/if not store_history and (/i\ if "sm_analytics_runtime_check" in code:\n return await self._complete_cell()\n' \ | ||
"$SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_kernel_base/BaseKernel.py" | ||
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# Patch glue kernels to use kernel wrapper | ||
COPY patch_glue_pyspark.json /opt/conda/share/jupyter/kernels/glue_pyspark/kernel.json | ||
COPY patch_glue_spark.json /opt/conda/share/jupyter/kernels/glue_spark/kernel.json | ||
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# Configure RTC - disable jupyter_collaboration by default | ||
RUN jupyter labextension disable @jupyter/collaboration-extension | ||
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USER root | ||
RUN HOME_DIR="/home/${NB_USER}/licenses" \ | ||
&& mkdir -p ${HOME_DIR} \ | ||
&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \ | ||
&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \ | ||
&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \ | ||
&& chmod +x /usr/local/bin/testOSSCompliance \ | ||
&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \ | ||
&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} python \ | ||
&& rm -rf ${HOME_DIR}/oss_compliance* | ||
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# Create logging directories for supervisor | ||
RUN mkdir -p $SAGEMAKER_LOGGING_DIR && \ | ||
chmod a+rw $SAGEMAKER_LOGGING_DIR && \ | ||
mkdir -p ${STUDIO_LOGGING_DIR} && \ | ||
chown ${NB_USER}:${MAMBA_USER} ${STUDIO_LOGGING_DIR} | ||
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# Clean up CodeEditor artifacts | ||
RUN rm -rf /etc/code-editor | ||
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# Create supervisord runtime directory | ||
RUN mkdir -p /var/run/supervisord && \ | ||
chmod a+rw /var/run/supervisord | ||
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# Create root directory for DB | ||
# Create logging directories for supervisor | ||
RUN mkdir -p $DB_ROOT_DIR && \ | ||
chmod a+rw $DB_ROOT_DIR | ||
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USER $MAMBA_USER | ||
ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH" | ||
WORKDIR "/home/${NB_USER}" | ||
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# Install FIPS Provider for OpenSSL, on top of existing OpenSSL installation | ||
# v3.0.8 is latest FIPS validated provider, so this is the one we install | ||
# But we need to run tests against the installed version. | ||
# see https://github.com/openssl/openssl/blob/master/README-FIPS.md https://www.openssl.org/source/ | ||
RUN INSTALLED_SSL=$(micromamba list | grep openssl | tr -s ' ' | cut -d ' ' -f 3 | head -n 1) && \ | ||
# download source code for installed, and FIPS validated openssl versions | ||
curl -L https://www.openssl.org/source/openssl-$FIPS_VALIDATED_SSL.tar.gz > openssl-$FIPS_VALIDATED_SSL.tar.gz && \ | ||
curl -L https://www.openssl.org/source/openssl-$INSTALLED_SSL.tar.gz > openssl-$INSTALLED_SSL.tar.gz && \ | ||
tar -xf openssl-$FIPS_VALIDATED_SSL.tar.gz && tar -xf openssl-$INSTALLED_SSL.tar.gz && cd openssl-$FIPS_VALIDATED_SSL && \ | ||
# Configure both versions to enable FIPS and build | ||
./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \ | ||
cd ../openssl-$INSTALLED_SSL && \ | ||
./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \ | ||
# Copy validated provider to installed version for testing | ||
cp ../openssl-$FIPS_VALIDATED_SSL/providers/fips.so providers/. && \ | ||
cp ../openssl-$FIPS_VALIDATED_SSL/providers/fipsmodule.cnf providers/. && \ | ||
make tests && cd ../openssl-$FIPS_VALIDATED_SSL && \ | ||
# After tests pass, install FIPS provider and remove source code | ||
make install_fips && cd .. && rm -rf ./openssl-* | ||
# Create new config file with fips-enabled. Then user can override OPENSSL_CONF to enable FIPS | ||
# e.g. export OPENSSL_CONF=/opt/conda/ssl/openssl-fips.cnf | ||
RUN cp /opt/conda/ssl/openssl.cnf /opt/conda/ssl/openssl-fips.cnf && \ | ||
sed -i "s:# .include fipsmodule.cnf:.include /opt/conda/ssl/fipsmodule.cnf:" /opt/conda/ssl/openssl-fips.cnf && \ | ||
sed -i 's:# fips = fips_sect:fips = fips_sect:' /opt/conda/ssl/openssl-fips.cnf | ||
ENV OPENSSL_MODULES=/opt/conda/lib64/ossl-modules/ | ||
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# Install Kerberos. | ||
# Make sure no dependency is added/updated | ||
RUN pip install "krb5>=0.5.1,<0.6" && \ | ||
pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] ' | ||
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# https://stackoverflow.com/questions/122327 | ||
RUN SYSTEM_PYTHON_PATH=$(python3 -c "from __future__ import print_function;import sysconfig; print(sysconfig.get_paths().get('purelib'))") && \ | ||
# Remove SparkRKernel as it's not supported \ | ||
jupyter-kernelspec remove -f -y sparkrkernel && \ | ||
# Patch Sparkmagic lib to support Custom Certificates \ | ||
# https://github.com/jupyter-incubator/sparkmagic/pull/435/files \ | ||
cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/configuration.py ${SYSTEM_PYTHON_PATH}/sparkmagic/utils/ && \ | ||
cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/reliablehttpclient.py ${SYSTEM_PYTHON_PATH}/sparkmagic/livyclientlib/reliablehttpclient.py && \ | ||
sed -i 's= "python"= "/opt/conda/bin/python"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \ | ||
sed -i 's="Spark"="SparkMagic Spark"=g' /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \ | ||
sed -i 's="PySpark"="SparkMagic PySpark"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json | ||
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ENV SHELL=/bin/bash |
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# Release notes: 1.9.0 | ||
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Package | gpu| cpu | ||
---|---|--- | ||
python|3.10.14|3.10.14 | ||
numpy|1.26.4|1.26.4 | ||
jinja2|3.1.4|3.1.4 | ||
pandas|2.1.4|2.1.4 | ||
altair|5.3.0|5.3.0 | ||
boto3|1.34.106|1.34.106 | ||
ipython|8.25.0|8.25.0 | ||
jupyter-lsp|2.2.5|2.2.5 | ||
jupyterlab|4.1.6|4.1.6 | ||
amazon-q-developer-jupyterlab-ext|3.1.0|3.1.0 | ||
langchain|0.1.9|0.1.9 | ||
jupyter-ai|2.17.0|2.17.0 | ||
amazon-sagemaker-jupyter-ai-q-developer|1.0.4|1.0.4 | ||
jupyter-scheduler|2.7.1|2.7.1 | ||
amazon-sagemaker-jupyter-scheduler|3.1.0|3.1.0 | ||
amazon-sagemaker-sql-magic|0.1.3|0.1.3 | ||
jupyterlab-lsp|5.0.3|5.0.3 | ||
amazon_sagemaker_sql_editor|0.1.9|0.1.9 | ||
scipy|1.11.4|1.11.4 | ||
scikit-learn|1.4.2|1.4.2 | ||
pip|23.3.2|23.3.2 | ||
torchvision|0.15.2|0.15.2 | ||
autogluon|0.8.3|0.8.3 | ||
ipywidgets|8.1.3|8.1.3 | ||
notebook|7.1.3|7.1.3 | ||
aws-glue-sessions|1.0.6|1.0.6 | ||
conda|23.11.0|23.11.0 | ||
fastapi|0.110.3|0.110.3 | ||
jupyter-collaboration|1.1.0|1.1.0 | ||
jupyter-dash|0.4.2|0.4.2 | ||
jupyter-server-proxy|4.2.0|4.2.0 | ||
jupyterlab-git|0.50.0|0.50.0 | ||
keras|2.14.0|2.15.0 | ||
langchain-aws|0.1.6|0.1.6 | ||
matplotlib|3.8.4|3.8.4 | ||
nodejs|18.20.2|18.20.2 | ||
py-xgboost-gpu|1.7.6| | ||
thrift_sasl|0.4.3|0.4.3 | ||
pyhive|0.7.0|0.7.0 | ||
python-gssapi|1.8.3|1.8.3 | ||
python-lsp-server|1.11.0|1.11.0 | ||
pytorch-gpu|2.0.0| | ||
sagemaker-code-editor|1.1.0|1.1.0 | ||
sagemaker-headless-execution-driver|0.0.12|0.0.12 | ||
sagemaker-jupyterlab-emr-extension|0.1.9|0.1.9 | ||
sagemaker-jupyterlab-extension|0.3.2|0.3.2 | ||
sagemaker-kernel-wrapper|0.0.2|0.0.2 | ||
sagemaker-python-sdk|2.223.0|2.223.0 | ||
sagemaker-studio-analytics-extension|0.0.21|0.0.21 | ||
sasl|0.3.1|0.3.1 | ||
supervisor|4.2.5|4.2.5 | ||
tensorflow-gpu|2.14.0| | ||
uvicorn|0.30.1|0.30.1 | ||
pytorch| |2.0.0 | ||
py-xgboost-cpu| |1.7.6 | ||
tensorflow| |2.15.0 |
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# This file is auto-generated. | ||
conda-forge::langchain-aws[version='>=0.1.6,<1.0.0'] | ||
conda-forge::jupyter-collaboration[version='>=1.1.0,<2.0.0'] | ||
conda-forge::sagemaker-code-editor[version='>=1.1.0,<2.0.0'] | ||
conda-forge::amazon_sagemaker_sql_editor[version='>=0.1.7,<1.0.0'] | ||
conda-forge::amazon-sagemaker-sql-magic[version='>=0.1.1,<1.0.0'] | ||
conda-forge::amazon-sagemaker-jupyter-ai-q-developer[version='>=1.0.3,<2.0'] | ||
conda-forge::amazon-q-developer-jupyterlab-ext[version='>=3.1.0,<4.0'] | ||
conda-forge::langchain[version='>=0.1.9,<1.0.0'] | ||
conda-forge::amazon_sagemaker_sql_editor[version='>=0.1.7,<1.0.0'] | ||
conda-forge::amazon-sagemaker-sql-magic[version='>=0.1.1,<1.0.0'] | ||
conda-forge::fastapi[version='>=0.110.3,<1.0.0'] | ||
conda-forge::uvicorn[version='>=0.30.1,<1.0.0'] | ||
conda-forge::pytorch[version='>=2.0.0,<3.0.0'] | ||
conda-forge::tensorflow[version='>=2.15.0,<3.0.0'] | ||
conda-forge::python[version='>=3.10.14,<3.11.0'] | ||
conda-forge::pip[version='>=23.3.2,<24.0.0'] | ||
conda-forge::torchvision[version='>=0.15.2,<1.0.0'] | ||
conda-forge::numpy[version='>=1.26.4,<2.0.0'] | ||
conda-forge::pandas[version='>=2.1.4,<3.0.0'] | ||
conda-forge::scikit-learn[version='>=1.4.2,<2.0.0'] | ||
conda-forge::jinja2[version='>=3.1.4,<4.0.0'] | ||
conda-forge::matplotlib[version='>=3.8.4,<4.0.0'] | ||
conda-forge::sagemaker-headless-execution-driver[version='>=0.0.12,<1.0.0'] | ||
conda-forge::ipython[version='>=8.25.0,<9.0.0'] | ||
conda-forge::scipy[version='>=1.11.4,<2.0.0'] | ||
conda-forge::keras[version='>=2.15.0,<3.0.0'] | ||
conda-forge::py-xgboost-cpu[version='>=1.7.6,<2.0.0'] | ||
conda-forge::jupyterlab[version='>=4.1.6,<5.0.0'] | ||
conda-forge::ipywidgets[version='>=8.1.3,<9.0.0'] | ||
conda-forge::conda[version='>=23.11.0,<24.0.0'] | ||
conda-forge::boto3[version='>=1.34.106,<2.0.0'] | ||
conda-forge::sagemaker-python-sdk[version='>=2.222.1,<3.0.0'] | ||
conda-forge::supervisor[version='>=4.2.5,<5.0.0'] | ||
conda-forge::autogluon[version='>=0.8.3,<1.0.0'] | ||
conda-forge::aws-glue-sessions[version='>=1.0.6,<2.0.0'] | ||
conda-forge::sagemaker-kernel-wrapper[version='>=0.0.2,<1.0.0'] | ||
conda-forge::jupyter-ai[version='>=2.17.0,<3.0.0'] | ||
conda-forge::jupyter-scheduler[version='>=2.7.1,<3.0.0'] | ||
conda-forge::nodejs[version='>=18.20.2,<19.0.0'] | ||
conda-forge::jupyter-lsp[version='>=2.2.5,<3.0.0'] | ||
conda-forge::jupyterlab-lsp[version='>=5.0.3,<6.0.0'] | ||
conda-forge::python-lsp-server[version='>=1.11.0,<2.0.0'] | ||
conda-forge::notebook[version='>=7.1.3,<8.0.0'] | ||
conda-forge::altair[version='>=5.3.0,<6.0.0'] | ||
conda-forge::sagemaker-studio-analytics-extension[version='>=0.0.21,<1.0.0'] | ||
conda-forge::jupyter-dash[version='>=0.4.2,<1.0.0'] | ||
conda-forge::sagemaker-jupyterlab-extension[version='>=0.3.2,<1.0.0'] | ||
conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.1.9,<1.0.0'] | ||
conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.1.0,<4.0.0'] | ||
conda-forge::jupyter-server-proxy[version='>=4.2.0,<5.0.0'] | ||
conda-forge::jupyterlab-git[version='>=0.50.0,<1.0.0'] | ||
conda-forge::sasl[version='>=0.3.1,<1.0.0'] | ||
conda-forge::thrift_sasl[version='>=0.4.3,<1.0.0'] | ||
conda-forge::pyhive[version='>=0.7.0,<1.0.0'] | ||
conda-forge::python-gssapi[version='>=1.8.3,<2.0.0'] |
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