Databricks Runtime 7.1 for ML(不支持)

Databricks于2020年7月发布了这张图片。

Databricks Runtime 7.1 for Machine Learning为机器学习和数据科学提供了一个现成的环境Databricks运行时7.1(不支持).Databricks Runtime ML包含许多流行的机器学习库,包括TensorFlow、PyTorch和XGBoost。它还支持使用Horovod进行分布式深度学习训练。

有关更多信息,包括创建Databricks Runtime ML集群的说明,请参见Databricks运行时机器学习

新特性和主要变化

Databricks Runtime 7.1 ML是建立在Databricks Runtime 7.1之上的。有关Databricks Runtime 7.1(包括Apache Spark MLlib和SparkR)中的新特性的信息,请参见Databricks运行时7.1(不支持)发行说明。

Databricks Runtime ML Python环境的主要更改

本节描述与已安装的Databricks Runtime ML Python环境相比的主要变化Databricks Runtime 7.0 ML(不支持).您还应该查看Databricks Runtime Python环境的主要更改Databricks运行时7.1(不支持).有关已安装的Python包及其版本的完整列表,请参见Python库

pip和conda魔法命令现在默认启用(公共预览)

在Databricks Runtime ML 6.4及以上版本中,%皮普而且% condaMagic命令可以通过集群配置设置使用。这些命令现在默认启用。有关更多信息,请参见笔记本范围的Python库

Python包升级

  • 枕头7.0.0 -> 7.1.0

  • Pytorch 1.5.0 -> 1.5.1

  • Torchvision 0.6.0 -> 0.6.1

  • Horovod 0.19.1 -> 0.19.5

  • Mlflow 1.8.0 -> 1.9.1

新增Python包

  • spark-tensorflow-distributor: 0.1.0

ML Spark包、Java和Scala库的更改

升级的软件包如下:

  • mlflow-client: 1.9.1

系统环境

Databricks Runtime 7.1 ML的系统环境与Databricks Runtime 7.1不同:

以下部分列出了Databricks Runtime 7.1 ML中包含的不同于Databricks Runtime 7.1的库。

Python库

Databricks Runtime 7.1 ML使用Conda进行Python包管理,包括许多流行的ML包。下面介绍Databricks Runtime 7.1 ML的Conda环境。

CPU集群上的Python

的名字databricks-ml渠道-pytorch-违约依赖关系-_libgcc_mutex = 0.1 =主要-absl-py = 0.9.0 = py37_0-= py37_0 1.3.0 asn1crypto =版本-阿斯特= 0.8.0 = py37_0-backcall = 0.1.0 = py37_0-补丁= 1.0 = py_2-bcrypt = 3.1.7 = py37h7b6447c_1-布拉斯特区= 1.0 = mkl-信号灯= 1.4 = py37_0-boto3 = 1.12.0 = py_0-botocore = 1.15.0 = py_0-c-ares = 1.15.0 = h7b6447c_1001-ca证书= 2020.6.24 = 0-cachetools = 4.1.0 = py_1-certifi = 2020.6.20 = py37_0-cffi = 1.14.0 = py37h2e261b9_0-chardet = 3.0.4 = py37_1003-单击= 7.0 = py37_0-= py_0 1.3.0 cloudpickle =版本-configparser = 3.7.4 = py37_0-cpuonly = 1.0 = 0-密码= 2.8 = py37h1ba5d50_0-周期计= 0.10.0 = py37_0-cython = 0.29.15 = py37he6710b0_0-4.4.1装饰= = py_0-莳萝= 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-未来= 0.18.2 = py37_1-恐吓= 0.3.3 = py_0-gitdb =你= py_0-gitdb2 = 4.0.2 = py_0-gitpython = 3.0.5 = 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 = py37_0-isodate = 0.6.0 = py_1-itsdangerous = 1.1.0 = py37_0-绝地= 0.14.1 = py37_0-jinja2 = 2.11.1 = py_0-jmespath = 0.9.4 = 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 = 1.16.4 = h173b8e3_0-ld_impl_linux - 64 = 2.33.1 = h53a641e_7-libedit = 3.1.20181209 = hc058e9b_0-libffi = 3.2.1 = hd88cf55_4-libgcc-ng = 9.1.0 = hdf63c60_0-libgfortran-ng = 7.3.0 = hdf63c60_0-libpng = 1.6.37 = hbc83047_0-libpq = 11.2 = h20c2e04_0-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-lightgbm = tripwire = py37he6710b0_0-lz4-c = 1.8.1.2 = h14c3975_0-尖吻鲭鲨= 1.1.2 = py_0-减价= 3.1.1 = py37_0-markupsafe = 1.1.1 = py37h7b6447c_0-matplotlib-base = 3.1.3 = py37hef1b27d_0-mkl = 2020.0 = 166-mkl-service = tripwire = py37he904b0f_0-mkl_fft = 1.0.15 = py37ha843d7b_0-mkl_random = 1.1.0 = py37hd6b4f25_0-ncurses = 6.2 = he6710b0_1-networkx = 2.4 = py_0-忍者= 1.9.0 = py37hfd86e86_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 = 1.1.1g = h7b6447c_0-包装= 20.1 = py_0-熊猫= 1.0.1 = py37h0573a6f_0-paramiko = 2.7.1 = py_0-parso = 0.5.2 = py_0-容易受骗的人= 0.5.1 = py37_0-pexpect = 4.8.0 = py37_0-pickleshare = 0.7.5 = py37_0-枕头= 7.0.0 = py37hb39fc2d_0-皮普= 20.0.2 = py37_3-情节= 4.8.1 = py_0-prompt_toolkit = 3.0.3 = py_0-protobuf = 3.11.4 = py37he6710b0_0-psutil = 5.6.7 = py37h7b6447c_0-psycopg2 = 2.8.4 = py37h1ba5d50_0-ptyprocess = 0.6.0 = py37_0-pyasn1 = 0.4.8 = py_0-pyasn1-modules = 0.2.7 = py_0-pycparser = 2.19 = py37_0-pygments = 2.5.2 = py_0-pyjwt = 1.7.1上= py37_0-= py37h7b6447c_0 1.3.0 pynacl =版本-pyodbc = 4.0.30 = py37he6710b0_0-pyopenssl = 19.1.0 = py37_0-pyparsing = 2.4.6 = py_0-pysocks = 1.7.1上= py37_0-python =第3.7.6 = h0371630_2-python-dateutil = 2.8.1发布= py_0-python编辑器的1.0.4 = = py_0-pytorch = 1.5.1 = py3.7_cpu_0-pytz = 2019.3 = py_0-pyzmq = 18.1.1 = py37he6710b0_0-readline = 7.0 = h7b6447c_5-= 2.22.0 = py37_1请求-= py_0 1.3.0 requests-oauthlib =版本-重试= 1.3.3 = py37_2-rsa = 4.0 = py_0-s3transfer = 0.3.3 = py37_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 = py37_0-smmap = 3.0.2 = py_0-sqlite = 3.31.1 = h62c20be_1-sqlparse = 0.3.0 = py_0-statsmodels = 0.11.0 = py37h7b6447c_0它-汇总= 0.8.3 = py37_0-tk = 8.6.8 = hbc83047_0-torchvision = 0.6.1 = py37_cpu-龙卷风= 6.0.3 = py37h7b6447c_3-tqdm = 4.42.1 = py_0-traitlets = 4.3.3 = py37_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-轮= 0.34.2 = py37_0-打包= 1.11.2 = py37h7b6447c_0-xz = 5.2.4 = h14c3975_4-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 = = 1.6.0-azure-storage-blob = = 12.3.2-databricks-cli = = 0.11.0-diskcache = = 4.1.0-码头工人= = 4.2.2-大猩猩= = 0.3.0-horovod = = 0.19.5-hyperopt = = 0.2.4.db2-keras-preprocessing = = 1.1.2-考拉= = 1.0.1-mleap = = 0.16.0-mlflow = = 1.9.1-msr = = 0.6.17-opt-einsum = = 3.2.1之上-petastorm = = 0.9.2-pyarrow = = 0.15.1-pyyaml = = 5.3.1-querystring-parser = = 4-seaborn = = 0.10.0-spark-tensorflow-distributor = = 0.1.0-sparkdl = = 2.1.0-db1-2.2.2 tensorboard = =-tensorboard-plugin-wit = = 1.7.0-tensorflow-cpu = = 2.2.0-tensorflow-estimator = = 2.2.0-termcolor = = 1.1.0-xgboost = = 1.1.1前缀/砖/ conda / env / databricks-ml

GPU集群下的Python

的名字databricks-ml-gpu渠道-pytorch-违约依赖关系-_libgcc_mutex = 0.1 =主要-absl-py = 0.9.0 = py37_0-= py37_0 1.3.0 asn1crypto =版本-阿斯特= 0.8.0 = py37_0-backcall = 0.1.0 = py37_0-补丁= 1.0 = py_2-bcrypt = 3.1.7 = py37h7b6447c_1-布拉斯特区= 1.0 = mkl-信号灯= 1.4 = py37_0-boto3 = 1.12.0 = py_0-botocore = 1.15.0 = py_0-c-ares = 1.15.0 = h7b6447c_1001-ca证书= 2020.6.24 = 0-cachetools = 4.1.0 = py_1-certifi = 2020.6.20 = py37_0-cffi = 1.14.0 = py37h2e261b9_0-chardet = 3.0.4 = py37_1003-单击= 7.0 = py37_0-= py_0 1.3.0 cloudpickle =版本-configparser = 3.7.4 = py37_0-密码= 2.8 = py37h1ba5d50_0-cudatoolkit = 10.1.243 = h6bb024c_0-周期计= 0.10.0 = py37_0-cython = 0.29.15 = py37he6710b0_0-4.4.1装饰= = py_0-莳萝= 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-未来= 0.18.2 = py37_1-恐吓= 0.3.3 = py_0-gitdb =你= py_0-gitdb2 = 4.0.2 = py_0-gitpython = 3.0.5 = 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 = py37_0-isodate = 0.6.0 = py_1-itsdangerous = 1.1.0 = py37_0-绝地= 0.14.1 = py37_0-jinja2 = 2.11.1 = py_0-jmespath = 0.9.4 = 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 = 1.16.4 = h173b8e3_0-ld_impl_linux - 64 = 2.33.1 = h53a641e_7-libedit = 3.1.20181209 = hc058e9b_0-libffi = 3.2.1 = hd88cf55_4-libgcc-ng = 9.1.0 = hdf63c60_0-libgfortran-ng = 7.3.0 = hdf63c60_0-libpng = 1.6.37 = hbc83047_0-libpq = 11.2 = h20c2e04_0-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-lightgbm = tripwire = py37he6710b0_0-lz4-c = 1.8.1.2 = h14c3975_0-尖吻鲭鲨= 1.1.2 = py_0-减价= 3.1.1 = py37_0-markupsafe = 1.1.1 = py37h7b6447c_0-matplotlib-base = 3.1.3 = py37hef1b27d_0-mkl = 2020.0 = 166-mkl-service = tripwire = py37he904b0f_0-mkl_fft = 1.0.15 = py37ha843d7b_0-mkl_random = 1.1.0 = py37hd6b4f25_0-ncurses = 6.2 = he6710b0_1-networkx = 2.4 = py_0-忍者= 1.9.0 = py37hfd86e86_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 = 1.1.1g = h7b6447c_0-包装= 20.1 = py_0-熊猫= 1.0.1 = py37h0573a6f_0-paramiko = 2.7.1 = py_0-parso = 0.5.2 = py_0-容易受骗的人= 0.5.1 = py37_0-pexpect = 4.8.0 = py37_0-pickleshare = 0.7.5 = py37_0-枕头= 7.0.0 = py37hb39fc2d_0-皮普= 20.0.2 = py37_3-情节= 4.8.1 = py_0-prompt_toolkit = 3.0.3 = py_0-protobuf = 3.11.4 = py37he6710b0_0-psutil = 5.6.7 = py37h7b6447c_0-psycopg2 = 2.8.4 = py37h1ba5d50_0-ptyprocess = 0.6.0 = py37_0-pyasn1 = 0.4.8 = py_0-pyasn1-modules = 0.2.7 = py_0-pycparser = 2.19 = py37_0-pygments = 2.5.2 = py_0-pyjwt = 1.7.1上= py37_0-= py37h7b6447c_0 1.3.0 pynacl =版本-pyodbc = 4.0.30 = py37he6710b0_0-pyopenssl = 19.1.0 = py37_0-pyparsing = 2.4.6 = py_0-pysocks = 1.7.1上= py37_0-python =第3.7.6 = h0371630_2-python-dateutil = 2.8.1发布= py_0-python编辑器的1.0.4 = = py_0-pytorch = 1.5.1 = py3.7_cuda10.1.243_cudnn7.6.3_0-pytz = 2019.3 = py_0-pyzmq = 18.1.1 = py37he6710b0_0-readline = 7.0 = h7b6447c_5-= 2.22.0 = py37_1请求-= py_0 1.3.0 requests-oauthlib =版本-重试= 1.3.3 = py37_2-rsa = 4.0 = py_0-s3transfer = 0.3.3 = py37_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 = py37_0-smmap = 3.0.2 = py_0-sqlite = 3.31.1 = h62c20be_1-sqlparse = 0.3.0 = py_0-statsmodels = 0.11.0 = py37h7b6447c_0它-汇总= 0.8.3 = py37_0-tk = 8.6.8 = hbc83047_0-torchvision = 0.6.1 = py37_cu101-龙卷风= 6.0.3 = py37h7b6447c_3-tqdm = 4.42.1 = py_0-traitlets = 4.3.3 = py37_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-轮= 0.34.2 = py37_0-打包= 1.11.2 = py37h7b6447c_0-xz = 5.2.4 = h14c3975_4-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 = = 1.6.0-azure-storage-blob = = 12.3.2-databricks-cli = = 0.11.0-diskcache = = 4.1.0-码头工人= = 4.2.2-大猩猩= = 0.3.0-horovod = = 0.19.5-hyperopt = = 0.2.4.db1-keras-preprocessing = = 1.1.2-考拉= = 1.0.1-mleap = = 0.16.0-mlflow = = 1.9.1-msr = = 0.6.17-opt-einsum = = 3.2.1之上-petastorm = = 0.9.2-pyarrow = = 0.15.1-pyyaml = = 5.3.1-querystring-parser = = 4-seaborn = = 0.10.0-spark-tensorflow-distributor = = 0.1.0-sparkdl = = 2.1.0-db1-2.2.2 tensorboard = =-tensorboard-plugin-wit = = 1.7.0-tensorflow = = 2.2.0-tensorflow-estimator = = 2.2.0-termcolor = = 1.1.0-xgboost = = 1.1.1前缀/砖/ conda / env / databricks-ml-gpu

包含Python模块的Spark包

火花包

Python模块

版本

graphframes

graphframes

0.8.0-db2-spark3.0

R库

R库与R库在Databricks运行时7.1。

Java和Scala库(Scala 2.12集群)

除了Java和Scala库在Databricks Runtime 7.1, Databricks Runtime 7.1 ML包含以下jar:

组ID

工件ID

版本

com.typesafe.akka

akka-actor_2.12

2.5.23

ml.combust.mleap

mleap-databricks-runtime_2.12

0.17.1-4882dc3

ml.dmlc

xgboost4j-spark_2.12

1.0.0

ml.dmlc

xgboost4j_2.12

1.0.0

org.mlflow

mlflow-client

1.9.1

org.scala-lang.modules

scala-java8-compat_2.12

0.8.0

org.tensorflow

spark-tensorflow-connector_2.12

1.15.0