Databricks運行時7.6用於機器學習(不支持)
Databricks在2021年2月發布了這張照片。
Databricks運行時7.6 for機器學習為機器學習和數據科學提供了一個現成的環境Databricks運行時7.6(不支持)．Databricks Runtime ML包含許多流行的機器學習庫，包括TensorFlow、PyTorch和XGBoost。它還支持使用Horovod進行分布式深度學習訓練。
有關更多信息，包括創建Databricks Runtime ML集群的說明，請參見用於機器學習的Databricks運行時．
有關從Databricks Runtime 6遷移的幫助。x,看到磚運行時7。x遷移指南．
新特性和主要變化
Databricks Runtime 7.6 ML是在Databricks Runtime 7.6的基礎上構建的。有關Databricks Runtime 7.6中新增內容(包括Apache Spark MLlib和SparkR)的信息，請參見Databricks運行時7.6(不支持)發行說明。
的用法
Tensoflow 1。在即將發布的Databricks Runtime主要版本中不支持
以下CUDA包已棄用，並將在即將發布的Databricks運行時主要版本中刪除:
cuda-command-line-tools
cuda-compiler
cuda-cudart-dev
cuda-cufft
cuda-cufft-dev
cuda-cuobjdump
cuda-cupti
cuda-curand
cuda-curand-dev
cuda-cusolver
cuda-cusolver-dev
cuda-cusparse
cuda-cusparse-dev
cuda-documentation
cuda-driver-dev
cuda-gdb
cuda-gpu-library-advisor
cuda-libraries-dev
cuda-license
cuda-memcheck
cuda-minimal-build
cuda-misc-headers
cuda-npp
cuda-npp-dev
cuda-nsight
cuda-nvcc
cuda-nvdisasm
cuda-nvgraph
cuda-nvgraph-dev
cuda-nvjpeg
cuda-nvjpeg-dev
cuda-nvml-dev
cuda-nvprune
cuda-nvrtc-dev
cuda-nvvp
cuda-samples
cuda-sanitizer-api
cuda
cuda-tools
cuda-visual-tools
freeglut3
libcublas-dev
libcudnn7-dev
libdrm-dev
libegl1
libegm-mesa0
libgbl1-mesa-dev
libgbm1
libgles1
libgles2
libglu1-mesa
libglu1-mesa-dev
libnccl-dev
libnvinfer-dev
libnvinfer-plugin-dev
libopengl0
libwayland-server0
libx11-xcb-dev
libxcb-dri2-0-dev
libxcb-dri3-dev
libxcb-glx0-dev
libxcb-present-dev
libxcb-randr0
libxcb-randr0-dev
libxcb-render0-dev
libxcb-shape0-dev
libxcb-sync-dev
libxcb-xfixes0
libxcb-xfixes0-dev
libxdamage-dev
libxext-dev
libxfixes-dev
libxi-dev
libxmu-dev
libxmu-headers
libxshmfence-dev
libxxf86vm-dev
mesa-common-dev
nsight-compute
nsight-systems
x11proto-damage-dev
x11proto-fixes-dev
x11proto-input-dev
x11proto-xext-dev
x11proto-xf86vidmode-dev
對Databricks Runtime ML Python環境的主要更改
看到Databricks運行時7.6(不支持)查看Databricks Runtime Python環境的主要更改。有關已安裝Python包及其版本的完整列表，請參見Python庫．
改進
PySpark集成XGBoost(公開預覽)
XGBoost與PySpark的集成得到了改進。這個包sparkdl2.1.0-db5包括兩個新的PySpark ML估計器，XgboostRegressor而且XgboostClassifier，它允許用戶在PySpark ML pipeline中訓練XGBoost模型。
在此版本之前，XGBoost沒有集成到PySpark中。用戶隻能選擇使用xgboost4j-spark或者打破PySpark ML Pipeline，在驅動程序上收集Spark DataFrame作為pandas DataFrame，並使用Python包xgboost．看到sparkdl API文檔而且在數據庫上使用XGBoost為更多的細節。
係統環境
Databricks Runtime 7.6 ML版本的係統環境與Databricks Runtime 7.6版本有如下不同:
DBUtils: Databricks Runtime ML中不包含庫工具(dbutils.library)．您可以使用
%皮普而且% conda而不是命令。看到Notebook-scoped Python庫．對於GPU集群，Databricks Runtime ML包含以下NVIDIA GPU庫:
CUDA 10.1更新
cuDNN 7.6.5
NCCL 2.7.3
TensorRT 6.0.1中
庫
以下部分列出了Databricks Runtime 7.6 ML中包含的與Databricks Runtime 7.6中包含的不同的庫。
Python庫
Databricks Runtime 7.6 ML使用Conda進行Python包管理，並包含許多流行的ML包。
除了以下章節中在Conda環境中指定的包外，Databricks Runtime 7.6 ML還安裝了以下包:
hyperopt 0.2.5.db1
sparkdl 2.1.0-db5
CPU集群上的Python庫
的名字：databricks-ml渠道：-pytorch-違約依賴關係：-_libgcc_mutex = 0.1 =主要-absl-py = 0.9.0 = py37_0-= py37_1 1.3.0 asn1crypto =版本-阿斯特= 0.8.0 = py37_0-backcall = 0.1.0 = py37_0-補丁= 1.0 = pyhd3eb1b0_2-bcrypt = 3.2.0 = py37h7b6447c_0-布拉斯特區= 1.0 = mkl-信號燈= 1.4 = py37_0-boto3 = 1.12.0 = py_0-botocore = 1.15.0 = py_0-c-ares = 1.17.1 = h27cfd23_0-ca證書= 2021.1.19 = h06a4308_1#(在2021年5月26日的維護更新中從h06a4308_0更新)-cachetools = 4.2.0 = pyhd3eb1b0_0-certifi = 2020.12.5 = py37h06a4308_0-cffi = 1.14.0 = py37he30daa8_1#(從2021年5月26日維護更新時的py37h2e261b9_0更新)-chardet = 3.0.4 = py37h06a4308_1003-單擊= 7.0 = py37_0-cloudpickle = 1.4.1 = py_0-configparser = 3.7.4 = py37_0-cpuonly = 1.0 = 0-密碼= 2.8 = py37h1ba5d50_0-周期計= 0.10.0 = py37_0-cython = 0.29.15 = py37he6710b0_0-4.4.1裝飾= = py_0-蒔蘿= 0.3.1.1 = py37_1-docutils = 0.15.2 = py37_0-entrypoints = 0.3 = py37_0-瓶= 1.1.1 = py_1-freetype的= 2.9.1 = h8a8886c_1-未來= 0.18.2 = py37_1-恐嚇= 0.3.3 = py_0-gitdb =你= py_0-gitpython = 3.1.0 = py_0-google-auth = 1.11.2 = py_0-google-auth-oauthlib = 0.4.1 = py_2-google-pasta = 0.2.0 = py_0-grpcio = 1.27.2 = py37hf8bcb03_0-gunicorn = 20.0.4 = py37_0-h5py = 2.10.0 = py37h7918eee_0-hdf5 = 1.10.4 = hb1b8bf9_0-icu = 58.2 = he6710b0_3-idna = 2.8 = py37_0-intel-openmp = 2020.0 = 166-ipykernel = 5.1.4 = py37h39e3cac_0-ipython = 7.12.0 = py37h5ca1d4c_0-ipython_genutils = 0.2.0 = pyhd3eb1b0_1-isodate = 0.6.0 = py_1-itsdangerous = 1.1.0 = py37_0-絕地= 0.17.2 = py37h06a4308_1-jinja2 = 2.11.1 = py_0-jmespath = 0.10.0 = py_0-joblib = 0.14.1 = py_0-jpeg = 9 b = h024ee3a_2-jupyter_client = 5.3.4 = py37_0-jupyter_core = 4.6.1 = py37_0-kiwisolver = 1.1.0 = py37he6710b0_0-krb5 = 1.17.1 = h173b8e3_0#(從2021年5月26日1.16.4更新)-ld_impl_linux - 64 = 2.33.1 = h53a641e_7-libedit = 3.1.20181209 = hc058e9b_0-libffi = 3.3 = he6710b0_2#(2021年5月26日維護更新中3.2.1更新)-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#(2021年5月26日維護更新時從11.2更新)-libprotobuf = 3.11.4 = hd408876_0-libsodium = 1.0.16 = h1bed415_0-libstdcxx-ng = 9.1.0 = hdf63c60_0-libtiff = 4.1.0 = h2733197_0-libuv = 1.40.0 = h7b6447c_0-lightgbm = 3.1.1 = py37h2531618_0-lz4-c = 1.8.1.2 = h14c3975_0-尖吻鯖鯊= 1.1.2 = py_0-減價= 3.1.1 = py37_0-markupsafe = 1.1.1 = py37h14c3975_1-matplotlib-base = 3.1.3 = py37hef1b27d_0-mkl = 2020.0 = 166-mkl-service = tripwire = py37he8ac12f_0-mkl_fft = 1.0.15 = py37ha843d7b_0-mkl_random = 1.1.0 = py37hd6b4f25_0-ncurses = 6.2 = he6710b0_1-networkx = 2.4 = py_1-忍者= 1.10.2 = py37hff7bd54_0-nltk = 3.4.5 = py37_0-numpy = 1.18.1 = py37h4f9e942_0-numpy-base = 1.18.1 = py37hde5b4d6_1-oauthlib = 3.1.0 = py_0-olefile = 0.46 = py37_0-openssl = 1.1.1k = h27cfd23_0#(2021年5月26日維護更新中從1.1.1i更新)-包裝= 20.1 = py_0-熊貓= 1.0.1 = py37h0573a6f_0-paramiko = 2.7.1 = py_0-parso = 0.7.0 = py_0-容易受騙的人= 0.5.1 = py37_0-pexpect = 4.8.0 = pyhd3eb1b0_3-pickleshare = 0.7.5 = pyhd3eb1b0_1003-枕頭= 7.0.0 = py37hb39fc2d_0-皮普= 20.0.2 = py37_3-情節= 4.14.1 = pyhd3eb1b0_0-prompt_toolkit = 3.0.3 = py_0-protobuf = 3.11.4 = py37he6710b0_0-psutil = 5.6.7 = py37h7b6447c_0-psycopg2 = 2.8.6 = py37h3c74f83_1#(從2021年5月26日的2.8.4更新)-ptyprocess = 0.6.0 = pyhd3eb1b0_2-pyasn1 = 0.4.8 = py_0-pyasn1-modules = 0.2.8 = py_0-pycparser = 2.19 = py37_0-pygments = 2.5.2 = py_0-pyjwt = 2.0.1 = py37h06a4308_0-= py37h7b6447c_0 1.3.0 pynacl =版本-pyodbc = 4.0.30 = py37he6710b0_0-pyopenssl = 19.1.0 = pyhd3eb1b0_1-pyparsing = 2.4.6 = py_0-pysocks = 1.7.1上= py37_1-python = 3.7.10 = hdb3f193_0#(從2021年5月26日3.7.6更新)-python-dateutil = 2.8.1發布= py_0-python編輯器的1.0.4 = = py_0-pytorch = 1.7.1上= py3.7_cpu_0-pytz = 2019.3 = py_0-pyzmq = 18.1.1 = py37he6710b0_0-readline = 8.1 = h27cfd23_0#(2021年5月26日維護更新從7.0更新)-= 2.22.0 = py37_1請求-= py_0 1.3.0 requests-oauthlib =版本-重試= 1.3.3 = py37_2-rsa = 4.0 = py_0-s3transfer = 0.3.4 = pyhd3eb1b0_0-scikit-learn = 0.22.1 = py37hd81dba3_0-scipy = 1.4.1 = py37h0b6359f_0-setuptools = 45.2.0 = py37_0-simplejson = 3.17.0 = py37h7b6447c_0-6 = 1.14.0 = py37h06a4308_0-smmap = 3.0.4 = py_0-sqlite = 3.35.4 = hdfb4753_0#(從2021年5月26日3.31.1更新)-sqlparse = 0.4.1 = py_0-statsmodels = 0.11.0 = py37h7b6447c_0它-彙總= 0.8.3 = py37_0-tk = 8.6.10 = hbc83047_0#(從2021年5月26日8.6.8更新)-torchvision = 0.8.2 = py37_cpu-龍卷風= 6.0.3 = py37h7b6447c_3-tqdm = 4.42.1 = py_0-traitlets = 4.3.3 = py37_0-typing_extensions = 3.7.4.3 = py_0-unixodbc = 2.3.7 = h14c3975_0-urllib3 = 1.25.8 = py37_0-wcwidth = 0.1.8 = py_0-websocket-client = 0.56.0 = py37_0-werkzeug = 1.0.0 = py_0-輪= 0.34.2 = py37_0-打包= 1.11.2 = py37h7b6447c_0-xz = 5.2.5 = h7b6447c_0#(從2021年5月26日的5.2.4更新)-zeromq = 4.3.1 = he6710b0_3-zlib = 1.2.11 = h7b6447c_3-zstd = 1.3.7 = h0b5b093_0-皮普：-astunparse = = 1.6.3-azure-core = = 1.10.0-azure-storage-blob = = 12.7.0-databricks-cli = = 0.14.1-diskcache = = 5.1.0-4.4.1碼頭工人= =-大猩猩= = 0.3.0-horovod = = 0.20.3-joblibspark = = 0.3.0-keras-preprocessing = = 1.1.2-考拉= = 1.5.0-mleap = = 0.16.1-mlflow = = 1.13.1-msr = = 0.6.19-opt-einsum = = 3.3.0-petastorm = = 0.9.7-pyarrow = = 1.0.1-pyyaml = = 5.4-querystring-parser = = 4-seaborn = = 0.10.0-spark-tensorflow-distributor = = 0.1.0-tensorboard = = tripwire-tensorboard-plugin-wit = = 1.8.0-tensorflow-cpu = = 2.3.1-tensorflow-estimator = = tripwire-termcolor = = 1.1.0-xgboost = = 1.3.1前綴：/磚/ conda / env / databricks-ml
GPU集群上的Python庫
的名字：databricks-ml-gpu渠道：-pytorch-違約依賴關係：-_libgcc_mutex = 0.1 =主要-absl-py = 0.9.0 = py37_0-= py37_1 1.3.0 asn1crypto =版本-阿斯特= 0.8.0 = py37_0-backcall = 0.1.0 = py37_0-補丁= 1.0 = pyhd3eb1b0_2-bcrypt = 3.2.0 = py37h7b6447c_0-布拉斯特區= 1.0 = mkl-信號燈= 1.4 = py37_0-boto3 = 1.12.0 = py_0-botocore = 1.15.0 = py_0-c-ares = 1.17.1 = h27cfd23_0-ca證書= 2021.1.19 = h06a4308_1#(在2021年5月26日的維護更新中從h06a4308_0更新)-cachetools = 4.2.0 = pyhd3eb1b0_0-certifi = 2020.12.5 = py37h06a4308_0-cffi = 1.14.0 = py37he30daa8_1#(從2021年5月26日維護更新時的py37h2e261b9_0更新)-chardet = 3.0.4 = py37h06a4308_1003-單擊= 7.0 = py37_0-cloudpickle = 1.4.1 = py_0-configparser = 3.7.4 = py37_0-密碼= 2.8 = py37h1ba5d50_0-cudatoolkit = 10.1.243 = h6bb024c_0-周期計= 0.10.0 = py37_0-cython = 0.29.15 = py37he6710b0_0-4.4.1裝飾= = py_0-蒔蘿= 0.3.1.1 = py37_1-docutils = 0.15.2 = py37_0-entrypoints = 0.3 = py37_0-瓶= 1.1.1 = py_1-freetype的= 2.9.1 = h8a8886c_1-未來= 0.18.2 = py37_1-恐嚇= 0.3.3 = py_0-gitdb =你= py_0-gitpython = 3.1.0 = py_0-google-auth = 1.11.2 = py_0-google-auth-oauthlib = 0.4.1 = py_2-google-pasta = 0.2.0 = py_0-grpcio = 1.27.2 = py37hf8bcb03_0-gunicorn = 20.0.4 = py37_0-h5py = 2.10.0 = py37h7918eee_0-hdf5 = 1.10.4 = hb1b8bf9_0-icu = 58.2 = he6710b0_3-idna = 2.8 = py37_0-intel-openmp = 2020.0 = 166-ipykernel = 5.1.4 = py37h39e3cac_0-ipython = 7.12.0 = py37h5ca1d4c_0-ipython_genutils = 0.2.0 = pyhd3eb1b0_1-isodate = 0.6.0 = py_1-itsdangerous = 1.1.0 = py37_0-絕地= 0.17.2 = py37h06a4308_1-jinja2 = 2.11.1 = py_0-jmespath = 0.10.0 = py_0-joblib = 0.14.1 = py_0-jpeg = 9 b = h024ee3a_2-jupyter_client = 5.3.4 = py37_0-jupyter_core = 4.6.1 = py37_0-kiwisolver = 1.1.0 = py37he6710b0_0-krb5 = 1.17.1 = h173b8e3_0#(從2021年5月26日1.16.4更新)-ld_impl_linux - 64 = 2.33.1 = h53a641e_7-libedit = 3.1.20181209 = hc058e9b_0-libffi = 3.3 = he6710b0_2#(2021年5月26日維護更新中3.2.1更新)-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#(2021年5月26日維護更新時從11.2更新)-libprotobuf = 3.11.4 = hd408876_0-libsodium = 1.0.16 = h1bed415_0-libstdcxx-ng = 9.1.0 = hdf63c60_0-libtiff = 4.1.0 = h2733197_0-libuv = 1.40.0 = h7b6447c_0-lightgbm = 3.1.1 = py37h2531618_0-lz4-c = 1.8.1.2 = h14c3975_0-尖吻鯖鯊= 1.1.2 = py_0-減價= 3.1.1 = py37_0-markupsafe = 1.1.1 = py37h14c3975_1-matplotlib-base = 3.1.3 = py37hef1b27d_0-mkl = 2020.0 = 166-mkl-service = tripwire = py37he8ac12f_0-mkl_fft = 1.0.15 = py37ha843d7b_0-mkl_random = 1.1.0 = py37hd6b4f25_0-ncurses = 6.2 = he6710b0_1-networkx = 2.4 = py_1-忍者= 1.10.2 = py37hff7bd54_0-nltk = 3.4.5 = py37_0-numpy = 1.18.1 = py37h4f9e942_0-numpy-base = 1.18.1 = py37hde5b4d6_1-oauthlib = 3.1.0 = py_0-olefile = 0.46 = py37_0-openssl = 1.1.1k = h27cfd23_0#(2021年5月26日維護更新中從1.1.1i更新)-包裝= 20.1 = py_0-熊貓= 1.0.1 = py37h0573a6f_0-paramiko = 2.7.1 = py_0-parso = 0.7.0 = py_0-容易受騙的人= 0.5.1 = py37_0-pexpect = 4.8.0 = pyhd3eb1b0_3-pickleshare = 0.7.5 = pyhd3eb1b0_1003-枕頭= 7.0.0 = py37hb39fc2d_0-皮普= 20.0.2 = py37_3-情節= 4.14.1 = pyhd3eb1b0_0-prompt_toolkit = 3.0.3 = py_0-protobuf = 3.11.4 = py37he6710b0_0-psutil = 5.6.7 = py37h7b6447c_0-psycopg2 = 2.8.6 = py37h3c74f83_1#(從2021年5月26日的2.8.4更新)-ptyprocess = 0.6.0 = pyhd3eb1b0_2-pyasn1 = 0.4.8 = py_0-pyasn1-modules = 0.2.8 = py_0-pycparser = 2.19 = py37_0-pygments = 2.5.2 = py_0-pyjwt = 2.0.1 = py37h06a4308_0-= py37h7b6447c_0 1.3.0 pynacl =版本-pyodbc = 4.0.30 = py37he6710b0_0-pyopenssl = 19.1.0 = pyhd3eb1b0_1-pyparsing = 2.4.6 = py_0-pysocks = 1.7.1上= py37_1-python = 3.7.10 = hdb3f193_0#(從2021年5月26日3.7.6更新)-python-dateutil = 2.8.1發布= py_0-python編輯器的1.0.4 = = py_0-pytorch = 1.7.1上= py3.7_cuda10.1.243_cudnn7.6.3_0-pytz = 2019.3 = py_0-pyzmq = 18.1.1 = py37he6710b0_0-readline = 8.1 = h27cfd23_0#(2021年5月26日維護更新從7.0更新)-= 2.22.0 = py37_1請求-= py_0 1.3.0 requests-oauthlib =版本-重試= 1.3.3 = py37_2-rsa = 4.0 = py_0-s3transfer = 0.3.4 = pyhd3eb1b0_0-scikit-learn = 0.22.1 = py37hd81dba3_0-scipy = 1.4.1 = py37h0b6359f_0-setuptools = 45.2.0 = py37_0-simplejson = 3.17.0 = py37h7b6447c_0-6 = 1.14.0 = py37h06a4308_0-smmap = 3.0.4 = py_0-sqlite = 3.35.4 = hdfb4753_0#(從2021年5月26日3.31.1更新)-sqlparse = 0.4.1 = py_0-statsmodels = 0.11.0 = py37h7b6447c_0它-彙總= 0.8.3 = py37_0-tk = 8.6.10 = hbc83047_0#(從2021年5月26日8.6.8更新)-torchvision = 0.8.2 = py37_cu101-龍卷風= 6.0.3 = py37h7b6447c_3-tqdm = 4.42.1 = py_0-traitlets = 4.3.3 = py37_0-typing_extensions = 3.7.4.3 = py_0-unixodbc = 2.3.7 = h14c3975_0-urllib3 = 1.25.8 = py37_0-wcwidth = 0.1.8 = py_0-websocket-client = 0.56.0 = py37_0-werkzeug = 1.0.0 = py_0-輪= 0.34.2 = py37_0-打包= 1.11.2 = py37h7b6447c_0-xz = 5.2.5 = h7b6447c_0#(從2021年5月26日的5.2.4更新)-zeromq = 4.3.1 = he6710b0_3-zlib = 1.2.11 = h7b6447c_3-zstd = 1.3.7 = h0b5b093_0-皮普：-astunparse = = 1.6.3-azure-core = = 1.10.0-azure-storage-blob = = 12.7.0-databricks-cli = = 0.14.1-diskcache = = 5.1.0-4.4.1碼頭工人= =-大猩猩= = 0.3.0-horovod = = 0.20.3-joblibspark = = 0.3.0-keras-preprocessing = = 1.1.2-考拉= = 1.5.0-mleap = = 0.16.1-mlflow = = 1.13.1-msr = = 0.6.19-opt-einsum = = 3.3.0-petastorm = = 0.9.7-pyarrow = = 1.0.1-pyyaml = = 5.4-querystring-parser = = 4-seaborn = = 0.10.0-spark-tensorflow-distributor = = 0.1.0-tensorboard = = tripwire-tensorboard-plugin-wit = = 1.8.0-tensorflow = = 2.3.1-tensorflow-estimator = = tripwire-termcolor = = 1.1.0-xgboost = = 1.3.1前綴：/磚/ conda / env / databricks-ml-gpu
Java和Scala庫(Scala 2.12集群)
除了Databricks Runtime 7.6中的Java和Scala庫之外，Databricks Runtime 7.6 ML還包含以下jar:
CPU集群
組ID |
工件ID |
版本 |
|---|---|---|
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 |
1.2.0 |
ml.dmlc |
xgboost4j_2.12 |
1.2.0 |
org.mlflow |
mlflow-client |
1.13.1 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |
GPU集群
組ID |
工件ID |
版本 |
|---|---|---|
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 |
1.2.0 |
ml.dmlc |
xgboost4j-gpu_2.12 |
1.2.0 |
org.mlflow |
mlflow-client |
1.13.1 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |