Machine Learning için Databricks Runtime 6,4 (desteklenmiyor)

Databricks bu görüntüyü Şubat 2020 ' de yayımladı.

Machine Learning için Databricks Runtime 6,4, Databricks Runtime 6,4 (desteklenmeyen)tabanlı Machine Learning ve veri bilimi için hazırlanın bir ortam sağlar. Databricks Runtime ML, tensorflow, pytorch, keras ve xgboost gibi birçok popüler makine öğrenimi kitaplığı içerir. Ayrıca, Horovod kullanarak dağıtılmış derin öğrenme eğitimi de desteklenir.

Databricks Runtime ML kümesi oluşturma yönergeleri dahil daha fazla bilgi için bkz. Databricks Runtime Machine Learning.

Yeni özellikler

Databricks Runtime 6,4 ML Databricks Runtime 6,4 ' nin üzerine kurulmuştur. Databricks Runtime 6,4 ' deki yenilikler hakkında daha fazla bilgi için bkz. Databricks Runtime 6,4 (desteklenmeyen) sürüm notları.

Geliştirmeleri

Kullanım dışı bırakılanlar

  • Tek başına keras paket kullanımdan kaldırılmıştır ve ml için Databricks Runtime yaklaşan ana sürümünde kaldırılacaktır. Databricks bunun yerine kullanmanızı önerir tensorflow.keras .
  • pymongoPaket kullanımdan kaldırılmıştır ve ml için Databricks Runtime yaklaşan ana sürümünde kaldırılacak.

Yükseltilen makine öğrenimi kitaplıkları

  • PyTorch: 1.3.1 to 1.4.0
  • Horovod: 0.18.2 to 1.19.0

Sistem ortamı

Databricks Runtime ML 6,4 ' deki sistem ortamı, Databricks Runtime 6,4 ' den aşağıdaki gibi farklılık gösterir:

Kitaplıklar

aşağıdaki bölümlerde, Databricks Runtime 6,4 ' de yer alan ML Databricks Runtime 6,4 ' ye dahil edilen kitaplıklar listelenmektedir.

Bu bölümdeki konular:

Üst katman kitaplıkları

Databricks Runtime 6,4 ML aşağıdaki üst katman kitaplıklarınıiçerir:

Python kitaplıkları

Databricks Runtime 6,4 ML Python paket yönetimi için conda kullanır ve birçok popüler ML paketi içerir. Aşağıdaki bölümde Databricks Runtime 6,4 ML için Conda ortamı açıklanmaktadır.

CPU kümelerinde Python

name: databricks-ml
channels:
  - Databricks
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _py-xgboost-mutex=2.0=cpu_0
  - _tflow_select=2.3.0=mkl
  - absl-py=0.9.0=py37_0
  - asn1crypto=0.24.0=py37_0
  - astor=0.8.0=py37_0
  - backcall=0.1.0=py37_0
  - backports=1.0=py_2
  - bcrypt=3.1.7=py37h7b6447c_0
  - blas=1.0=mkl
  - boto=2.49.0=py37_0
  - boto3=1.9.162=py_0
  - botocore=1.12.163=py_0
  - c-ares=1.15.0=h7b6447c_1001
  - ca-certificates=2019.1.23=0
  - certifi=2019.3.9=py37_0
  - cffi=1.12.2=py37h2e261b9_1
  - chardet=3.0.4=py37_1003
  - click=7.0=py_0
  - cloudpickle=0.8.0=py37_0
  - colorama=0.4.1=py_0
  - configparser=3.7.4=py37_0
  - cpuonly=1.0=0
  - cryptography=2.6.1=py37h1ba5d50_0
  - cycler=0.10.0=py37_0
  - cython=0.29.6=py37he6710b0_0
  - decorator=4.4.0=py37_1
  - docutils=0.14=py37_0
  - entrypoints=0.3=py37_0
  - et_xmlfile=1.0.1=py37_0
  - flask=1.0.2=py37_1
  - freetype=2.9.1=h8a8886c_1
  - future=0.17.1=py37_0
  - gast=0.2.2=py37_0
  - gitdb2=2.0.6=py_0
  - gitpython=2.1.11=py37_0
  - google-pasta=0.1.8=py_0
  - grpcio=1.16.1=py37hf8bcb03_1
  - gunicorn=19.9.0=py37_0
  - h5py=2.9.0=py37h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - html5lib=1.0.1=py_0
  - icu=58.2=h9c2bf20_1
  - idna=2.8=py37_0
  - intel-openmp=2019.3=199
  - ipykernel=5.1.0=py37h39e3cac_0
  - ipython=7.4.0=py37h39e3cac_0
  - ipython_genutils=0.2.0=py37_0
  - itsdangerous=1.1.0=py_0
  - jdcal=1.4=py37_0
  - jedi=0.13.3=py37_0
  - jinja2=2.10=py37_0
  - jmespath=0.9.4=py_0
  - jpeg=9b=h024ee3a_2
  - jupyter_client=5.2.4=py37_0
  - jupyter_core=4.4.0=py37_0
  - keras-applications=1.0.8=py_0
  - keras-preprocessing=1.1.0=py_1
  - kiwisolver=1.0.1=py37hf484d3e_0
  - krb5=1.16.1=h173b8e3_7
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=8.2.0=hdf63c60_1
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.36=hbc83047_0
  - libpq=11.2=h20c2e04_0
  - libprotobuf=3.11.4=hd408876_0
  - libsodium=1.0.16=h1bed415_0
  - libstdcxx-ng=8.2.0=hdf63c60_1
  - libtiff=4.0.10=h2733197_2
  - libxgboost=0.90=he6710b0_1
  - libxml2=2.9.9=hea5a465_1
  - libxslt=1.1.33=h7d1a2b0_0
  - llvmlite=0.28.0=py37hd408876_0
  - lxml=4.3.2=py37hefd8a0e_0
  - mako=1.0.10=py_0
  - markdown=3.1.1=py37_0
  - markupsafe=1.1.1=py37h7b6447c_0
  - mkl=2019.3=199
  - mkl_fft=1.0.10=py37ha843d7b_0
  - mkl_random=1.0.2=py37hd81dba3_0
  - ncurses=6.1=he6710b0_1
  - networkx=2.2=py37_1
  - ninja=1.9.0=py37hfd86e86_0
  - nose=1.3.7=py37_2
  - numba=0.43.1=py37h962f231_0
  - numpy=1.16.2=py37h7e9f1db_0
  - numpy-base=1.16.2=py37hde5b4d6_0
  - olefile=0.46=py_0
  - openpyxl=2.6.1=py37_1
  - openssl=1.1.1b=h7b6447c_1
  - opt_einsum=3.1.0=py_0
  - pandas=0.24.2=py37he6710b0_0
  - paramiko=2.4.2=py37_0
  - parso=0.3.4=py37_0
  - pathlib2=2.3.3=py37_0
  - patsy=0.5.1=py37_0
  - pexpect=4.6.0=py37_0
  - pickleshare=0.7.5=py37_0
  - pillow=5.4.1=py37h34e0f95_0
  - pip=19.0.3=py37_0
  - ply=3.11=py37_0
  - prompt_toolkit=2.0.9=py37_0
  - protobuf=3.11.4=py37he6710b0_0
  - psutil=5.6.1=py37h7b6447c_0
  - psycopg2=2.7.6.1=py37h1ba5d50_0
  - ptyprocess=0.6.0=py37_0
  - py-xgboost=0.90=py37he6710b0_1
  - py-xgboost-cpu=0.90=py37_1
  - pyasn1=0.4.8=py_0
  - pycparser=2.19=py_0
  - pygments=2.3.1=py37_0
  - pymongo=3.8.0=py37he6710b0_1
  - pynacl=1.3.0=py37h7b6447c_0
  - pyopenssl=19.0.0=py37_0
  - pyparsing=2.3.1=py37_0
  - pysocks=1.6.8=py37_0
  - python=3.7.3=h0371630_0
  - python-dateutil=2.8.0=py37_0
  - python-editor=1.0.4=py_0
  - pytorch=1.4.0=py3.7_cpu_0
  - pytz=2018.9=py37_0
  - pyyaml=5.1=py37h7b6447c_0
  - pyzmq=18.0.0=py37he6710b0_0
  - readline=7.0=h7b6447c_5
  - requests=2.21.0=py37_0
  - s3transfer=0.2.1=py37_0
  - scikit-learn=0.20.3=py37hd81dba3_0
  - scipy=1.2.1=py37h7c811a0_0
  - setuptools=40.8.0=py37_0
  - simplejson=3.16.0=py37h14c3975_0
  - singledispatch=3.4.0.3=py37_0
  - six=1.12.0=py37_0
  - smmap2=2.0.5=py_0
  - sqlite=3.27.2=h7b6447c_0
  - sqlparse=0.3.0=py_0
  - statsmodels=0.9.0=py37h035aef0_0
  - tabulate=0.8.3=py37_0
  - tensorboard=1.15.0+db2=pyhb230dea_0
  - tensorflow=1.15.0+db2=mkl_py37hc5fbf04_0
  - tensorflow-base=1.15.0+db2=mkl_py37h2ae1e84_0
  - tensorflow-estimator=1.15.1+db2=pyh2649769_0
  - tensorflow-mkl=1.15.0+db2=h4fcabd2_0
  - termcolor=1.1.0=py37_1
  - tk=8.6.8=hbc83047_0
  - torchvision=0.5.0=py37_cpu
  - tornado=6.0.2=py37h7b6447c_0
  - tqdm=4.31.1=py37_1
  - traitlets=4.3.2=py37_0
  - urllib3=1.24.1=py37_0
  - virtualenv=16.0.0=py37_0
  - wcwidth=0.1.7=py37_0
  - webencodings=0.5.1=py37_1
  - websocket-client=0.56.0=py37_0
  - werkzeug=0.14.1=py37_0
  - wheel=0.33.1=py37_0
  - wrapt=1.11.1=py37h7b6447c_0
  - xz=5.2.4=h14c3975_4
  - yaml=0.1.7=had09818_2
  - zeromq=4.3.1=he6710b0_3
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - argparse==1.4.0
    - databricks-cli==0.9.1
    - deprecated==1.2.7
    - docker==4.2.0
    - fusepy==2.0.4
    - gorilla==0.3.0
    - horovod==0.19.0
    - hyperopt==0.2.2.db1
    - keras==2.2.5
    - matplotlib==3.0.3
    - mleap==0.8.1
    - mlflow==1.5.0
    - nose-exclude==0.5.0
    - pyarrow==0.13.0
    - querystring-parser==1.2.4
    - seaborn==0.9.0
    - tensorboardx==1.9
prefix: /databricks/conda/envs/databricks-ml

GPU kümelerinde Python

name: databricks-ml-gpu
channels:
  - Databricks
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _py-xgboost-mutex=1.0=gpu_0
  - _tflow_select=2.1.0=gpu
  - absl-py=0.9.0=py37_0
  - asn1crypto=0.24.0=py37_0
  - astor=0.8.0=py37_0
  - backcall=0.1.0=py37_0
  - backports=1.0=py_2
  - bcrypt=3.1.7=py37h7b6447c_0
  - blas=1.0=mkl
  - boto=2.49.0=py37_0
  - boto3=1.9.162=py_0
  - botocore=1.12.163=py_0
  - c-ares=1.15.0=h7b6447c_1001
  - ca-certificates=2019.1.23=0
  - certifi=2019.3.9=py37_0
  - cffi=1.12.2=py37h2e261b9_1
  - chardet=3.0.4=py37_1003
  - click=7.0=py_0
  - cloudpickle=0.8.0=py37_0
  - colorama=0.4.1=py_0
  - configparser=3.7.4=py37_0
  - cryptography=2.6.1=py37h1ba5d50_0
  - cudatoolkit=10.0.130=0
  - cudnn=7.6.4=cuda10.0_0
  - cupti=10.0.130=0
  - cycler=0.10.0=py37_0
  - cython=0.29.6=py37he6710b0_0
  - decorator=4.4.0=py37_1
  - docutils=0.14=py37_0
  - entrypoints=0.3=py37_0
  - et_xmlfile=1.0.1=py37_0
  - flask=1.0.2=py37_1
  - freetype=2.9.1=h8a8886c_1
  - future=0.17.1=py37_0
  - gast=0.2.2=py37_0
  - gitdb2=2.0.6=py_0
  - gitpython=2.1.11=py37_0
  - google-pasta=0.1.8=py_0
  - grpcio=1.16.1=py37hf8bcb03_1
  - gunicorn=19.9.0=py37_0
  - h5py=2.9.0=py37h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - html5lib=1.0.1=py_0
  - icu=58.2=h9c2bf20_1
  - idna=2.8=py37_0
  - intel-openmp=2019.3=199
  - ipykernel=5.1.0=py37h39e3cac_0
  - ipython=7.4.0=py37h39e3cac_0
  - ipython_genutils=0.2.0=py37_0
  - itsdangerous=1.1.0=py_0
  - jdcal=1.4=py37_0
  - jedi=0.13.3=py37_0
  - jinja2=2.10=py37_0
  - jmespath=0.9.4=py_0
  - jpeg=9b=h024ee3a_2
  - jupyter_client=5.2.4=py37_0
  - jupyter_core=4.4.0=py37_0
  - keras-applications=1.0.8=py_0
  - keras-preprocessing=1.1.0=py_1
  - kiwisolver=1.0.1=py37hf484d3e_0
  - krb5=1.16.1=h173b8e3_7
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=8.2.0=hdf63c60_1
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.36=hbc83047_0
  - libpq=11.2=h20c2e04_0
  - libprotobuf=3.11.4=hd408876_0
  - libsodium=1.0.16=h1bed415_0
  - libstdcxx-ng=8.2.0=hdf63c60_1
  - libtiff=4.0.10=h2733197_2
  - libxgboost=0.90=h688424c_0
  - libxml2=2.9.9=hea5a465_1
  - libxslt=1.1.33=h7d1a2b0_0
  - llvmlite=0.28.0=py37hd408876_0
  - lxml=4.3.2=py37hefd8a0e_0
  - mako=1.0.10=py_0
  - markdown=3.1.1=py37_0
  - markupsafe=1.1.1=py37h7b6447c_0
  - mkl=2019.3=199
  - mkl_fft=1.0.10=py37ha843d7b_0
  - mkl_random=1.0.2=py37hd81dba3_0
  - ncurses=6.1=he6710b0_1
  - networkx=2.2=py37_1
  - ninja=1.9.0=py37hfd86e86_0
  - nose=1.3.7=py37_2
  - numba=0.43.1=py37h962f231_0
  - numpy=1.16.2=py37h7e9f1db_0
  - numpy-base=1.16.2=py37hde5b4d6_0
  - olefile=0.46=py_0
  - openpyxl=2.6.1=py37_1
  - openssl=1.1.1b=h7b6447c_1
  - opt_einsum=3.1.0=py_0
  - pandas=0.24.2=py37he6710b0_0
  - paramiko=2.4.2=py37_0
  - parso=0.3.4=py37_0
  - pathlib2=2.3.3=py37_0
  - patsy=0.5.1=py37_0
  - pexpect=4.6.0=py37_0
  - pickleshare=0.7.5=py37_0
  - pillow=5.4.1=py37h34e0f95_0
  - pip=19.0.3=py37_0
  - ply=3.11=py37_0
  - prompt_toolkit=2.0.9=py37_0
  - protobuf=3.11.4=py37he6710b0_0
  - psutil=5.6.1=py37h7b6447c_0
  - psycopg2=2.7.6.1=py37h1ba5d50_0
  - ptyprocess=0.6.0=py37_0
  - py-xgboost=0.90=py37h688424c_0
  - py-xgboost-gpu=0.90=py37h28bbb66_0
  - pyasn1=0.4.8=py_0
  - pycparser=2.19=py_0
  - pygments=2.3.1=py37_0
  - pymongo=3.8.0=py37he6710b0_1
  - pynacl=1.3.0=py37h7b6447c_0
  - pyopenssl=19.0.0=py37_0
  - pyparsing=2.3.1=py37_0
  - pysocks=1.6.8=py37_0
  - python=3.7.3=h0371630_0
  - python-dateutil=2.8.0=py37_0
  - python-editor=1.0.4=py_0
  - pytorch=1.4.0=py3.7_cuda10.0.130_cudnn7.6.3_0
  - pytz=2018.9=py37_0
  - pyyaml=5.1=py37h7b6447c_0
  - pyzmq=18.0.0=py37he6710b0_0
  - readline=7.0=h7b6447c_5
  - requests=2.21.0=py37_0
  - s3transfer=0.2.1=py37_0
  - scikit-learn=0.20.3=py37hd81dba3_0
  - scipy=1.2.1=py37h7c811a0_0
  - setuptools=40.8.0=py37_0
  - simplejson=3.16.0=py37h14c3975_0
  - singledispatch=3.4.0.3=py37_0
  - six=1.12.0=py37_0
  - smmap2=2.0.5=py_0
  - sqlite=3.27.2=h7b6447c_0
  - sqlparse=0.3.0=py_0
  - statsmodels=0.9.0=py37h035aef0_0
  - tabulate=0.8.3=py37_0
  - tensorboard=1.15.0+db2=pyhb230dea_0
  - tensorflow=1.15.0+db2=gpu_py37h9fd0ff8_0
  - tensorflow-base=1.15.0+db2=gpu_py37hd56f5dd_0
  - tensorflow-estimator=1.15.1+db2=pyh2649769_0
  - tensorflow-gpu=1.15.0+db2=h0d30ee6_0
  - termcolor=1.1.0=py37_1
  - tk=8.6.8=hbc83047_0
  - torchvision=0.5.0=py37_cu100
  - tornado=6.0.2=py37h7b6447c_0
  - tqdm=4.31.1=py37_1
  - traitlets=4.3.2=py37_0
  - urllib3=1.24.1=py37_0
  - virtualenv=16.0.0=py37_0
  - wcwidth=0.1.7=py37_0
  - webencodings=0.5.1=py37_1
  - websocket-client=0.56.0=py37_0
  - werkzeug=0.14.1=py37_0
  - wheel=0.33.1=py37_0
  - wrapt=1.11.1=py37h7b6447c_0
  - xz=5.2.4=h14c3975_4
  - yaml=0.1.7=had09818_2
  - zeromq=4.3.1=he6710b0_3
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - argparse==1.4.0
    - databricks-cli==0.9.1
    - deprecated==1.2.7
    - docker==4.2.0
    - fusepy==2.0.4
    - gorilla==0.3.0
    - horovod==0.19.0
    - hyperopt==0.2.2.db1
    - keras==2.2.5
    - matplotlib==3.0.3
    - mleap==0.8.1
    - mlflow==1.5.0
    - nose-exclude==0.5.0
    - pyarrow==0.13.0
    - querystring-parser==1.2.4
    - seaborn==0.9.0
    - tensorboardx==1.9
prefix: /databricks/conda/envs/databricks-ml-gpu

Python modülleri içeren Spark paketleri

Spark paketi Python modülü Sürüm
graphframes graphframes 0.7.0-DB1-Spark 2.4
Spark-derin öğrenme parlak DL 1.5.0-db12-Spark 2.4
tensorframes tensorframes 0.8.2-s_2.11

R kitaplıkları

R kitaplıkları Databricks Runtime 6,4 ' deki r kitaplıklarıylaaynıdır.

Java ve Scala kitaplıkları (Scala 2,11 kümesi)

Databricks Runtime 6,4 ' deki Java ve scala kitaplıklarına ek olarak, Databricks Runtime 6,4 ML aşağıdaki jliler 'i içerir:

Grup Kimliği Yapıt KIMLIĞI Sürüm
com. databricks Spark-derin öğrenme 1.5.0-db12-Spark 2.4
com. typesafe. Akka Akka-actor_2.11 2.3.11
ml. combust. martık mımlıveriricks-runtime_2.11 0.15.0
ml. dmlc xgboost4j 0,90
ml. dmlc xgboost4j-Spark 0,90
org. graphframes graphframes_2.11 0.7.0-DB1-Spark 2.4
org. mlflow mlflow-istemci 1.4.0
org. TensorFlow libtensorflow 1.15.0
org. TensorFlow libtensorflow_jni 1.15.0
org. TensorFlow Spark-TensorFlow-connector_2.11 1.15.0
org. TensorFlow TensorFlow 1.15.0
org.tensorframes tensorframes 0.8.2-s_2.11