Databricks Runtime 8.2 för Machine Learning (stöds inte)

Databricks släppte den här bilden i april 2021.

Databricks Runtime 8.2 för Machine Learning ger en färdig miljö för maskininlärning och datavetenskap baserat på Databricks Runtime 8.2 (stöds inte). Databricks Runtime ML innehåller många populära maskininlärningsbibliotek, inklusive TensorFlow, PyTorch och XGBoost. Det stöder även distribuerad djupinlärningsträning med Horovod.

Mer information, inklusive instruktioner för att skapa ett Databricks Runtime ML-kluster, finns i Databricks Runtime for Machine Learning.

Nya funktioner och större ändringar

Databricks Runtime 8.2 ML bygger på Databricks Runtime 8.2. Information om vad som är nytt i Databricks Runtime 8.2, inklusive Apache Spark MLlib och SparkR, finns i viktig information om Databricks Runtime 8.2 (stöds inte).

Större ändringar i Databricks Runtime ML Python-miljön

Se Databricks Runtime 8.2 (stöds inte) för större ändringar i Databricks Runtime Python-miljön. En fullständig lista över installerade Python-paket och deras versioner finns i Python-bibliotek.

Python-paket har uppgraderats

  • databricks-cli 0.14.1 –> 0.14.3
  • horovod 0.21.1 -> 0.21.3
  • koalas 1.6.0 -> 1.7.0
  • mlflow 1.14.1 -> 1.15.0
  • shap 0.38.1 -> 0.39.0
  • fackla 1.7.1 -> 1.8.1
  • torchvision 0.8.2 -> 0.9.1

Python-paket har lagts till

  • pandas-profilering: 2.11.0

Systemmiljö

Systemmiljön i Databricks Runtime 8.2 ML skiljer sig från Databricks Runtime 8.2 på följande sätt:

Bibliotek

I följande avsnitt visas de bibliotek som ingår i Databricks Runtime 8.2 ML som skiljer sig från de som ingår i Databricks Runtime 8.2.

I det här avsnittet:

Bibliotek på den översta nivån

Databricks Runtime 8.2 ML innehåller följande bibliotek på den översta nivån:

Python-bibliotek

Databricks Runtime 8.2 ML använder Conda för Python-pakethantering och innehåller många populära ML-paket.

Förutom de paket som anges i Conda-miljöerna i följande avsnitt innehåller Databricks Runtime 8.2 ML även följande paket:

  • hyperopt 0.2.5.db1
  • sparkdl 2.1.0.db4

Python-bibliotek i CPU-kluster

name: databricks-ml
channels:
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - absl-py=0.11.0=pyhd3eb1b0_1
  - aiohttp=3.7.4=py38h27cfd23_1
  - asn1crypto=1.4.0=py_0
  - astor=0.8.1=py38h06a4308_0
  - async-timeout=3.0.1=py38h06a4308_0
  - attrs=20.3.0=pyhd3eb1b0_0
  - backcall=0.2.0=pyhd3eb1b0_0
  - bcrypt=3.2.0=py38h7b6447c_0
  - blas=1.0=mkl
  - blinker=1.4=py38h06a4308_0
  - boto3=1.16.7=pyhd3eb1b0_0
  - botocore=1.19.7=pyhd3eb1b0_0
  - brotlipy=0.7.0=py38h27cfd23_1003
  - bzip2=1.0.8=h7b6447c_0
  - c-ares=1.17.1=h27cfd23_0
  - ca-certificates=2021.4.13=h06a4308_1 # (updated from 2021.1.19 in May 26, 2021 maintenance update)
  - cachetools=4.2.1=pyhd3eb1b0_0
  - certifi=2020.12.5=py38h06a4308_0
  - cffi=1.14.3=py38h261ae71_2
  - chardet=3.0.4=py38h06a4308_1003
  - click=7.1.2=pyhd3eb1b0_0
  - cloudpickle=1.6.0=py_0
  - configparser=5.0.1=py_0
  - cpuonly=1.0=0
  - cryptography=3.1.1=py38h1ba5d50_0
  - cycler=0.10.0=py38_0
  - cython=0.29.21=py38h2531618_0
  - decorator=4.4.2=pyhd3eb1b0_0
  - dill=0.3.2=py_0
  - docutils=0.15.2=py38h06a4308_1
  - entrypoints=0.3=py38_0
  - ffmpeg=4.2.2=h20bf706_0
  - flask=1.1.2=pyhd3eb1b0_0
  - freetype=2.10.4=h5ab3b9f_0
  - future=0.18.2=py38_1
  - gitdb=4.0.5=py_0
  - gitpython=3.1.12=pyhd3eb1b0_1
  - gmp=6.1.2=h6c8ec71_1
  - gnutls=3.6.5=h71b1129_1002
  - google-auth=1.22.1=py_0
  - google-auth-oauthlib=0.4.2=pyhd3eb1b0_2
  - google-pasta=0.2.0=py_0
  - gunicorn=20.0.4=py38h06a4308_0
  - h5py=2.10.0=py38h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - icu=58.2=he6710b0_3
  - idna=2.10=pyhd3eb1b0_0
  - importlib-metadata=2.0.0=py_1
  - intel-openmp=2019.4=243
  - ipykernel=5.3.4=py38h5ca1d4c_0
  - ipython=7.19.0=py38hb070fc8_1
  - ipython_genutils=0.2.0=pyhd3eb1b0_1
  - isodate=0.6.0=py_1
  - itsdangerous=1.1.0=pyhd3eb1b0_0
  - jedi=0.17.2=py38h06a4308_1
  - jinja2=2.11.2=pyhd3eb1b0_0
  - jmespath=0.10.0=py_0
  - joblib=0.17.0=py_0
  - jpeg=9b=h024ee3a_2
  - jupyter_client=6.1.7=py_0
  - jupyter_core=4.6.3=py38_0
  - kiwisolver=1.3.0=py38h2531618_0
  - krb5=1.17.1=h173b8e3_0
  - lame=3.100=h7b6447c_0
  - lcms2=2.11=h396b838_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20191231=h14c3975_1
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libopus=1.3.1=h7b6447c_0
  - libpng=1.6.37=hbc83047_0
  - libpq=12.2=h20c2e04_0
  - libprotobuf=3.13.0.1=hd408876_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_1
  - libuv=1.40.0=h7b6447c_0
  - libvpx=1.7.0=h439df22_0
  - lightgbm=3.1.1=py38h2531618_0
  - lz4-c=1.9.2=heb0550a_3
  - mako=1.1.3=py_0
  - markdown=3.3.3=py38h06a4308_0
  - markupsafe=1.1.1=py38h7b6447c_0
  - matplotlib-base=3.2.2=py38hef1b27d_0
  - mkl=2019.4=243
  - mkl-service=2.3.0=py38he904b0f_0
  - mkl_fft=1.2.0=py38h23d657b_0
  - mkl_random=1.1.0=py38h962f231_0
  - more-itertools=8.6.0=pyhd3eb1b0_0
  - multidict=5.1.0=py38h27cfd23_2
  - ncurses=6.2=he6710b0_1
  - nettle=3.4.1=hbb512f6_0
  - networkx=2.5=py_0
  - ninja=1.10.2=py38hff7bd54_0
  - nltk=3.5=py_0
  - numpy=1.19.2=py38h54aff64_0
  - numpy-base=1.19.2=py38hfa32c7d_0
  - oauthlib=3.1.0=py_0
  - olefile=0.46=py_0
  - openh264=2.1.0=hd408876_0
  - openssl=1.1.1k=h27cfd23_0 # (updated from 1.1.1i in May 26, 2021 maintenance update)
  - packaging=20.4=py_0
  - pandas=1.1.3=py38he6710b0_0
  - paramiko=2.7.2=py_0
  - parso=0.7.0=py_0
  - patsy=0.5.1=py38_0
  - pexpect=4.8.0=pyhd3eb1b0_3
  - pickleshare=0.7.5=pyhd3eb1b0_1003
  - pillow=8.0.1=py38he98fc37_0
  - pip=20.2.4=py38h06a4308_0
  - plotly=4.14.3=pyhd3eb1b0_0
  - prompt-toolkit=3.0.8=py_0
  - prompt_toolkit=3.0.8=0
  - protobuf=3.13.0.1=py38he6710b0_1
  - psutil=5.7.2=py38h7b6447c_0
  - psycopg2=2.8.5=py38h3c74f83_1
  - ptyprocess=0.6.0=pyhd3eb1b0_2
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.8=py_0
  - pycparser=2.20=py_2
  - pygments=2.7.2=pyhd3eb1b0_0
  - pyjwt=1.7.1=py38_0
  - pynacl=1.4.0=py38h7b6447c_1
  - pyodbc=4.0.30=py38he6710b0_0
  - pyopenssl=19.1.0=pyhd3eb1b0_1
  - pyparsing=2.4.7=pyhd3eb1b0_0
  - pysocks=1.7.1=py38h06a4308_0
  - python=3.8.8=hdb3f193_4 # (updated from 3.8.5 in May 26, 2021 maintenance update)
  - python-dateutil=2.8.1=pyhd3eb1b0_0
  - python-editor=1.0.4=py_0
  - pytorch=1.8.1=py3.8_cpu_0
  - pytz=2020.5=pyhd3eb1b0_0
  - pyzmq=19.0.2=py38he6710b0_1
  - readline=8.0=h7b6447c_0
  - regex=2020.10.15=py38h7b6447c_0
  - requests=2.24.0=py_0
  - requests-oauthlib=1.3.0=py_0
  - retrying=1.3.3=py_2
  - rsa=4.7.2=pyhd3eb1b0_1
  - s3transfer=0.3.6=pyhd3eb1b0_0
  - scikit-learn=0.23.2=py38h0573a6f_0
  - scipy=1.5.2=py38h0b6359f_0
  - setuptools=50.3.1=py38h06a4308_1
  - simplejson=3.17.2=py38h27cfd23_2
  - six=1.15.0=py38h06a4308_0
  - smmap=3.0.5=pyhd3eb1b0_0
  - sqlite=3.33.0=h62c20be_0
  - sqlparse=0.4.1=py_0
  - statsmodels=0.12.0=py38h7b6447c_0
  - tabulate=0.8.7=py38h06a4308_0
  - threadpoolctl=2.1.0=pyh5ca1d4c_0
  - tk=8.6.10=hbc83047_0
  - torchvision=0.9.1=py38_cpu
  - tornado=6.0.4=py38h7b6447c_1
  - tqdm=4.50.2=py_0
  - traitlets=5.0.5=pyhd3eb1b0_0
  - typing-extensions=3.7.4.3=hd3eb1b0_0
  - typing_extensions=3.7.4.3=pyh06a4308_0
  - unixodbc=2.3.9=h7b6447c_0
  - urllib3=1.25.11=py_0
  - wcwidth=0.2.5=py_0
  - websocket-client=0.57.0=py38_2
  - werkzeug=1.0.1=pyhd3eb1b0_0
  - wheel=0.35.1=pyhd3eb1b0_0
  - wrapt=1.12.1=py38h7b6447c_1
  - x264=1!157.20191217=h7b6447c_0
  - xz=5.2.5=h7b6447c_0
  - yarl=1.6.3=py38h27cfd23_0
  - zeromq=4.3.3=he6710b0_3
  - zipp=3.4.0=pyhd3eb1b0_0
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.4.5=h9ceee32_0
  - pip:
    - argon2-cffi==20.1.0
    - astunparse==1.6.3
    - async-generator==1.10
    - azure-core==1.11.0
    - azure-storage-blob==12.7.1
    - bleach==3.3.0
    - confuse==1.4.0
    - databricks-cli==0.14.3
    - defusedxml==0.7.1
    - diskcache==5.2.1
    - docker==4.4.4
    - flatbuffers==1.12
    - gast==0.3.3
    - grpcio==1.32.0
    - horovod==0.21.3
    - htmlmin==0.1.12
    - imagehash==4.2.0
    - ipywidgets==7.6.3
    - joblibspark==0.3.0
    - jsonschema==3.2.0
    - jupyterlab-pygments==0.1.2
    - jupyterlab-widgets==1.0.0
    - keras-preprocessing==1.1.2
    - koalas==1.7.0
    - llvmlite==0.36.0
    - missingno==0.4.2
    - mistune==0.8.4
    - mleap==0.16.1
    - mlflow-skinny==1.15.0
    - msrest==0.6.21
    - nbclient==0.5.3
    - nbconvert==6.0.7
    - nbformat==5.1.2
    - nest-asyncio==1.5.1
    - notebook==6.3.0
    - numba==0.53.1
    - opt-einsum==3.3.0
    - pandas-profiling==2.11.0
    - pandocfilters==1.4.3
    - petastorm==0.9.8
    - phik==0.11.2
    - prometheus-client==0.9.0
    - pyarrow==1.0.1
    - pyrsistent==0.17.3
    - pywavelets==1.1.1
    - pyyaml==5.4.1
    - querystring-parser==1.2.4
    - seaborn==0.10.0
    - send2trash==1.5.0
    - shap==0.39.0
    - slicer==0.0.7
    - spark-tensorflow-distributor==0.1.0
    - tangled-up-in-unicode==0.0.7
    - tensorboard==2.4.1
    - tensorboard-plugin-wit==1.8.0
    - tensorflow-cpu==2.4.1
    - tensorflow-estimator==2.4.0
    - termcolor==1.1.0
    - terminado==0.9.4
    - testpath==0.4.4
    - visions==0.6.0
    - webencodings==0.5.1
    - widgetsnbextension==3.5.1
    - xgboost==1.3.3
prefix: /databricks/conda/envs/databricks-ml

Python-bibliotek i GPU-kluster

name: databricks-ml-gpu
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - absl-py=0.11.0=pyhd3eb1b0_1
  - aiohttp=3.7.4=py38h27cfd23_1
  - asn1crypto=1.4.0=py_0
  - astor=0.8.1=py38h06a4308_0
  - async-timeout=3.0.1=py38h06a4308_0
  - attrs=20.3.0=pyhd3eb1b0_0
  - backcall=0.2.0=pyhd3eb1b0_0
  - bcrypt=3.2.0=py38h7b6447c_0
  - blas=1.0=mkl
  - blinker=1.4=py38h06a4308_0
  - boto3=1.16.7=pyhd3eb1b0_0
  - botocore=1.19.7=pyhd3eb1b0_0
  - brotlipy=0.7.0=py38h27cfd23_1003
  - c-ares=1.17.1=h27cfd23_0
  - ca-certificates=2021.4.13=h06a4308_1 # (updated from 2021.1.19 in May 26, 2021 maintenance update)
  - cachetools=4.2.1=pyhd3eb1b0_0
  - certifi=2020.12.5=py38h06a4308_0
  - cffi=1.14.3=py38h261ae71_2
  - chardet=3.0.4=py38h06a4308_1003
  - click=7.1.2=pyhd3eb1b0_0
  - cloudpickle=1.6.0=py_0
  - configparser=5.0.1=py_0
  - cryptography=3.1.1=py38h1ba5d50_0
  - cycler=0.10.0=py38_0
  - cython=0.29.21=py38h2531618_0
  - decorator=4.4.2=pyhd3eb1b0_0
  - dill=0.3.2=py_0
  - docutils=0.15.2=py38h06a4308_1
  - entrypoints=0.3=py38_0
  - flask=1.1.2=pyhd3eb1b0_0
  - freetype=2.10.4=h5ab3b9f_0
  - future=0.18.2=py38_1
  - gitdb=4.0.5=py_0
  - gitpython=3.1.12=pyhd3eb1b0_1
  - google-auth=1.22.1=py_0
  - google-auth-oauthlib=0.4.2=pyhd3eb1b0_2
  - google-pasta=0.2.0=py_0
  - grpcio=1.31.0=py38hf8bcb03_0
  - gunicorn=20.0.4=py38h06a4308_0
  - h5py=2.10.0=py38h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - icu=58.2=he6710b0_3
  - idna=2.10=pyhd3eb1b0_0
  - importlib-metadata=2.0.0=py_1
  - intel-openmp=2019.4=243
  - ipykernel=5.3.4=py38h5ca1d4c_0
  - ipython=7.19.0=py38hb070fc8_1
  - ipython_genutils=0.2.0=pyhd3eb1b0_1
  - isodate=0.6.0=py_1
  - itsdangerous=1.1.0=pyhd3eb1b0_0
  - jedi=0.17.2=py38h06a4308_1
  - jinja2=2.11.2=pyhd3eb1b0_0
  - jmespath=0.10.0=py_0
  - joblib=0.17.0=py_0
  - jpeg=9b=h024ee3a_2
  - jupyter_client=6.1.7=py_0
  - jupyter_core=4.6.3=py38_0
  - kiwisolver=1.3.0=py38h2531618_0
  - krb5=1.17.1=h173b8e3_0
  - lcms2=2.11=h396b838_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20191231=h14c3975_1
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libpq=12.2=h20c2e04_0
  - libprotobuf=3.13.0.1=hd408876_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_1
  - lightgbm=3.1.1=py38h2531618_0
  - lz4-c=1.9.2=heb0550a_3
  - mako=1.1.3=py_0
  - markdown=3.3.3=py38h06a4308_0
  - markupsafe=1.1.1=py38h7b6447c_0
  - matplotlib-base=3.2.2=py38hef1b27d_0
  - mkl=2019.4=243
  - mkl-service=2.3.0=py38he904b0f_0
  - mkl_fft=1.2.0=py38h23d657b_0
  - mkl_random=1.1.0=py38h962f231_0
  - more-itertools=8.6.0=pyhd3eb1b0_0
  - multidict=5.1.0=py38h27cfd23_2
  - ncurses=6.2=he6710b0_1
  - networkx=2.5=py_0
  - nltk=3.5=py_0
  - numpy=1.19.2=py38h54aff64_0
  - numpy-base=1.19.2=py38hfa32c7d_0
  - oauthlib=3.1.0=py_0
  - olefile=0.46=py_0
  - openssl=1.1.1k=h27cfd23_0 # (updated from 1.1.1i in May 26, 2021 maintenance update)
  - packaging=20.4=py_0
  - pandas=1.1.3=py38he6710b0_0
  - paramiko=2.7.2=py_0
  - parso=0.7.0=py_0
  - patsy=0.5.1=py38_0
  - pexpect=4.8.0=pyhd3eb1b0_3
  - pickleshare=0.7.5=pyhd3eb1b0_1003
  - pillow=8.0.1=py38he98fc37_0
  - pip=20.2.4=py38h06a4308_0
  - plotly=4.14.3=pyhd3eb1b0_0
  - prompt-toolkit=3.0.8=py_0
  - prompt_toolkit=3.0.8=0
  - protobuf=3.13.0.1=py38he6710b0_1
  - psutil=5.7.2=py38h7b6447c_0
  - psycopg2=2.8.5=py38h3c74f83_1
  - ptyprocess=0.6.0=pyhd3eb1b0_2
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.8=py_0
  - pycparser=2.20=py_2
  - pygments=2.7.2=pyhd3eb1b0_0
  - pyjwt=1.7.1=py38_0
  - pynacl=1.4.0=py38h7b6447c_1
  - pyodbc=4.0.30=py38he6710b0_0
  - pyopenssl=19.1.0=pyhd3eb1b0_1
  - pyparsing=2.4.7=pyhd3eb1b0_0
  - pysocks=1.7.1=py38h06a4308_0
  - python=3.8.8=hdb3f193_4 # (updated from 3.8.5 in May 26, 2021 maintenance update)
  - python-dateutil=2.8.1=pyhd3eb1b0_0
  - python-editor=1.0.4=py_0
  - pytz=2020.5=pyhd3eb1b0_0
  - pyzmq=19.0.2=py38he6710b0_1
  - readline=8.0=h7b6447c_0
  - regex=2020.10.15=py38h7b6447c_0
  - requests=2.24.0=py_0
  - requests-oauthlib=1.3.0=py_0
  - retrying=1.3.3=py_2
  - rsa=4.7.2=pyhd3eb1b0_1
  - s3transfer=0.3.6=pyhd3eb1b0_0
  - scikit-learn=0.23.2=py38h0573a6f_0
  - scipy=1.5.2=py38h0b6359f_0
  - setuptools=50.3.1=py38h06a4308_1
  - simplejson=3.17.2=py38h27cfd23_2
  - six=1.15.0=py38h06a4308_0
  - smmap=3.0.5=pyhd3eb1b0_0
  - sqlite=3.33.0=h62c20be_0
  - sqlparse=0.4.1=py_0
  - statsmodels=0.12.0=py38h7b6447c_0
  - tabulate=0.8.7=py38h06a4308_0
  - threadpoolctl=2.1.0=pyh5ca1d4c_0
  - tk=8.6.10=hbc83047_0
  - tornado=6.0.4=py38h7b6447c_1
  - tqdm=4.50.2=py_0
  - traitlets=5.0.5=pyhd3eb1b0_0
  - typing-extensions=3.7.4.3=hd3eb1b0_0
  - typing_extensions=3.7.4.3=pyh06a4308_0
  - unixodbc=2.3.9=h7b6447c_0
  - urllib3=1.25.11=py_0
  - wcwidth=0.2.5=py_0
  - websocket-client=0.57.0=py38_2
  - werkzeug=1.0.1=pyhd3eb1b0_0
  - wheel=0.35.1=pyhd3eb1b0_0
  - wrapt=1.12.1=py38h7b6447c_1
  - xz=5.2.5=h7b6447c_0
  - yarl=1.6.3=py38h27cfd23_0
  - zeromq=4.3.3=he6710b0_3
  - zipp=3.4.0=pyhd3eb1b0_0
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.4.5=h9ceee32_0
  - pip:
    - argon2-cffi==20.1.0
    - astunparse==1.6.3
    - async-generator==1.10
    - azure-core==1.11.0
    - azure-storage-blob==12.7.1
    - bleach==3.3.0
    - confuse==1.4.0
    - databricks-cli==0.14.3
    - defusedxml==0.7.1
    - diskcache==5.2.1
    - docker==4.4.4
    - flatbuffers==1.12
    - gast==0.3.3
    - horovod==0.21.3
    - htmlmin==0.1.12
    - imagehash==4.2.0
    - ipywidgets==7.6.3
    - joblibspark==0.3.0
    - jsonschema==3.2.0
    - jupyterlab-pygments==0.1.2
    - jupyterlab-widgets==1.0.0
    - keras-preprocessing==1.1.2
    - koalas==1.7.0
    - llvmlite==0.36.0
    - missingno==0.4.2
    - mistune==0.8.4
    - mleap==0.16.1
    - mlflow-skinny==1.15.0
    - msrest==0.6.21
    - nbclient==0.5.3
    - nbconvert==6.0.7
    - nbformat==5.1.2
    - nest-asyncio==1.5.1
    - notebook==6.3.0
    - numba==0.53.1
    - opt-einsum==3.3.0
    - pandas-profiling==2.11.0
    - pandocfilters==1.4.3
    - petastorm==0.9.8
    - phik==0.11.2
    - pyarrow==1.0.1
    - pyrsistent==0.17.3
    - pywavelets==1.1.1
    - pyyaml==5.4.1
    - querystring-parser==1.2.4
    - seaborn==0.10.0
    - send2trash==1.5.0
    - shap==0.39.0
    - slicer==0.0.7
    - spark-tensorflow-distributor==0.1.0
    - tangled-up-in-unicode==0.0.7
    - tensorboard==2.4.1
    - tensorboard-plugin-wit==1.8.0
    - tensorflow==2.4.1
    - tensorflow-estimator==2.4.0
    - termcolor==1.1.0
    - terminado==0.9.4
    - testpath==0.4.4
    - torch==1.8.1
    - torchvision==0.9.1
    - visions==0.6.0
    - webencodings==0.5.1
    - widgetsnbextension==3.5.1
    - xgboost==1.3.3
prefix: /databricks/conda/envs/databricks-ml-gpu

Spark-paket som innehåller Python-moduler

Spark-paket Python-modul Version
graphframes graphframes 0.8.1-db2-spark3.1

R-bibliotek

R-biblioteken är identiska med R-biblioteken i Databricks Runtime 8.2.

Java- och Scala-bibliotek (Scala 2.12-kluster)

Förutom Java- och Scala-bibliotek i Databricks Runtime 8.2 innehåller Databricks Runtime 8.2 ML följande JAR:er:

CPU-kluster

Grupp-ID Artefakt-ID Version
com.typesafe.akka akka-actor_2.12 2.5.23
ml.combust.mleap mleap-databricks-runtime_2.12 0.17.3-4882dc3
ml.dmlc xgboost4j-spark_2.12 1.3.1
ml.dmlc xgboost4j_2.12 1.3.1
org.mlflow mlflow-client 1.15.0
org.scala-lang.modules scala-java8-compat_2.12 0.8.0
org.tensorflow spark-tensorflow-connector_2.12 1.15.0

GPU-kluster

Grupp-ID Artefakt-ID Version
com.typesafe.akka akka-actor_2.12 2.5.23
ml.combust.mleap mleap-databricks-runtime_2.12 0.17.3-4882dc3
ml.dmlc xgboost4j-spark-gpu_2.12 1.3.1
ml.dmlc xgboost4j-gpu_2.12 1.3.1
org.mlflow mlflow-client 1.15.0
org.scala-lang.modules scala-java8-compat_2.12 0.8.0
org.tensorflow spark-tensorflow-connector_2.12 1.15.0