Databricks Runtime 11.0 para Machine Learning (EoS)
Nota:
El soporte técnico con esta versión de Databricks Runtime ha finalizado. Para obtener la fecha de finalización del soporte técnico, consulte Historial de finalización del soporte técnico. Para ver todas las versiones de Databricks Runtime con soporte técnico, consulte las notas de la versión de Databricks Runtime versiones y compatibilidad.
Databricks Runtime 11.0 para Machine Learning proporciona un entorno listo para usar de aprendizaje automático y ciencia de datos basado en Databricks Runtime 11.0 (EoS). Databricks Runtime ML contiene muchas bibliotecas populares de aprendizaje automático, incluidas TensorFlow, PyTorch y XGBoost. Databricks Runtime ML incluye AutoML, una herramienta para entrenar automáticamente canalizaciones de aprendizaje automático. Databricks Runtime ML también admite el entrenamiento de aprendizaje profundo distribuido mediante Horovod.
Para más información, incluidas las instrucciones para crear un clúster de Databricks Runtime ML, consulte IA y aprendizaje automático en Databricks.
Nuevas características y mejoras
Databricks Runtime 11.0 ML se basa en Databricks Runtime 11.0. Para obtener información sobre las novedades de Databricks Runtime 11.0, incluidas las notas de la versión de Apache Spark MLlib y SparkR, consulte las notas de la versión de Databricks Runtime 11.0 (EoS).
Mejoras en AutoML
AutoML ahora admite fracciones de muestreo más altas para mejorar el rendimiento en conjuntos de datos grandes. Para más información, consulte Muestreo de conjuntos de datos grandes.
Entorno del sistema
El entorno del sistema de Databricks Runtime 11.0 ML se diferencia del de Databricks Runtime 11.0 en lo siguiente:
- DBUtils: Databricks Runtime ML no incluye la utilidad de biblioteca de (dbutils.library) (heredada).
Use comandos
%pipen su lugar. Consulte Bibliotecas de Python cuyo ámbito es Notebook. - En los clústeres de GPU, Databricks Runtime ML incluye las siguientes bibliotecas de GPU de NVIDIA:
- CUDA 11.3
- cuDNN 8.0.5.39
- NCCL 2.9.9
- TensorRT 7.2.2
Bibliotecas
En las secciones siguientes se enumeran las bibliotecas incluidas en Databricks Runtime 11.0 ML, que difieren de las incluidas en Databricks Runtime 11.0.
En esta sección:
- Bibliotecas de nivel superior
- Bibliotecas de Python
- Bibliotecas de R
- Bibliotecas de Java y Scala (clúster de Scala 2.12)
Bibliotecas de nivel superior
Databricks Runtime 11.0 ML incluye las siguientes bibliotecas de nivel superior:
- GraphFrames
- Horovod y HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow
- TensorBoard
Bibliotecas de Python
Databricks Runtime 11.0 ML usa Virtualenv para la administración de paquetes de Python, e incluye muchos paquetes de Machine Learning populares.
Además de los paquetes especificados en las secciones siguientes, Databricks Runtime 11.0 ML también incluye los siguientes:
- hyperopt 0.2.7.db1
- sparkdl 2.2.0-db6
- feature_store 0.4.1
- automl 1.10
Bibliotecas de Python en clústeres de CPU
| Biblioteca | Versión | Biblioteca | Versión | Biblioteca | Versión |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | Antergos Linux | 2015.10 (ISO-Rolling) | argon2-cffi | 20.1.0 |
| astor | 0.8.1 | astunparse | 1.6.3 | async-generator | 1.10 |
| attrs | 21.2.0 | backcall | 0.2.0 | backports.entry-points-selectable | 1.1.1 |
| bcrypt | 3.2.2 | bleach | 4.0.0 | blis | 0.7.7 |
| boto3 | 1.21.18 | botocore | 1.24.18 | cachetools | 5.1.0 |
| catalogue | 2.0.7 | certifi | 2021.10.8 | cffi | 1.14.6 |
| chardet | 4.0.0 | charset-normalizer | 2.0.4 | click | 8.0.3 |
| cloudpickle | 2.0.0 | cmdstanpy | 0.9.68 | configparser | 5.2.0 |
| convertdate | 2.4.0 | criptografía | 3.4.8 | cycler | 0.10.0 |
| cymem | 2.0.6 | Cython | 0.29.24 | databricks-automl-runtime | 0.2.8 |
| databricks-cli | 0.16.4 | dbl-tempo | 0.1.12 | dbus-python | 1.2.16 |
| debugpy | 1.4.1 | decorator | 5.1.0 | defusedxml | 0.7.1 |
| dill | 0.3.4 | diskcache | 5.4.0 | distlib | 0.3.4 |
| distro-info | 0.23ubuntu1 | entrypoints | 0,3 | ephem | 4.1.3 |
| facets-overview | 1.0.0 | fasttext | 0.9.2 | filelock | 3.3.1 |
| Flask | 1.1.2 | flatbuffers | 2.0 | fsspec | 2021.8.1 |
| future | 0.18.2 | gast | 0.5.3 | gitdb | 4.0.9 |
| GitPython | 3.1.27 | google-auth | 2.6.0 | google-auth-oauthlib | 0.4.6 |
| google-pasta | 0.2.0 | grpcio | 1.44.0 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | h5py | 3.3.0 | hijri-converter | 2.2.3 |
| vacaciones | 0,13 | horovod | 0.24.3 | htmlmin | 0.1.12 |
| huggingface-hub | 0.6.0 | idna | 3.2 | ImageHash | 4.2.1 |
| imbalanced-learn | 0.8.1 | importlib-metadata | 4.8.1 | ipykernel | 6.12.1 |
| ipython | 7.32.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.0 |
| isodate | 0.6.1 | itsdangerous | 2.0.1 | jedi | 0.18.0 |
| Jinja2 | 2.11.3 | jmespath | 0.10.0 | joblib | 1.0.1 |
| joblibspark | 0.5.0 | jsonschema | 3.2.0 | jupyter-client | 6.1.12 |
| jupyter-core | 4.8.1 | jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 |
| keras | 2.8.0 | keras-preprocessing | 1.1.2 | kiwisolver | 1.3.1 |
| korean-lunar-calendar | 0.2.1 | langcodes | 3.3.0 | libclang | 14.0.1 |
| lightgbm | 3.3.2 | llvmlite | 0.38.0 | LunarCalendar | 0.0.9 |
| Mako | 1.2.0 | Markdown | 3.3.6 | MarkupSafe | 2.0.1 |
| matplotlib | 3.4.3 | matplotlib-inline | 0.1.2 | missingno | 0.5.1 |
| mistune | 0.8.4 | mleap | 0.20.0 | mlflow-skinny | 1.26.0 |
| multimethod | 1.8 | murmurhash | 1.0.7 | nbclient | 0.5.3 |
| nbconvert | 6.1.0 | nbformat | 5.1.3 | nest-asyncio | 1.5.1 |
| networkx | 2.6.3 | nltk | 3.6.5 | notebook | 6.4.5 |
| numba | 0.55.1 | numpy | 1.20.3 | oauthlib | 3.2.0 |
| opt-einsum | 3.3.0 | empaquetado | 21.0 | pandas | 1.3.4 |
| pandas-profiling | 3.1.0 | pandocfilters | 1.4.3 | paramiko | 2.9.2 |
| parso | 0.8.2 | pathy | 0.6.1 | patsy | 0.5.2 |
| petastorm | 0.11.4 | pexpect | 4.8.0 | phik | 0.12.2 |
| pickleshare | 0.7.5 | Pillow | 8.4.0 | pip | 21.2.4 |
| platformdirs | 2.5.2 | plotly | 5.6.0 | pmdarima | 1.8.5 |
| preshed | 3.0.6 | prometheus-client | 0.11.0 | prompt-toolkit | 3.0.20 |
| prophet | 1.0.1 | protobuf | 3.19.4 | psutil | 5.8.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pyarrow | 7.0.0 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pybind11 | 2.9.2 |
| pycparser | 2,20 | pydantic | 1.8.2 | Pygments | 2.10.0 |
| PyGObject | 3.36.0 | PyMeeus | 0.5.11 | PyNaCl | 1.5.0 |
| pyodbc | 4.0.31 | pyparsing | 3.0.4 | pyrsistent | 0.18.0 |
| pystan | 2.19.1.1 | python-apt | 2.0.0+ubuntu0.20.4.7 | Python-dateutil | 2.8.2 |
| python-editor | 1.0.4 | pytz | 2021.3 | PyWavelets | 1.1.1 |
| PyYAML | 6.0 | pyzmq | 22.2.1 | regex | 2021.8.3 |
| Solicitudes | 2.26.0 | requests-oauthlib | 1.3.1 | requests-unixsocket | 0.2.0 |
| rsa | 4.8 | s3transfer | 0.5.2 | sacremoses | 0.0.53 |
| scikit-learn | 0.24.2 | scipy | 1.7.1 | seaborn | 0.11.2 |
| Send2Trash | 1.8.0 | setuptools | 58.0.4 | setuptools-git | 1.2 |
| shap | 0.40.0 | simplejson | 3.17.6 | six (seis) | 1.16.0 |
| segmentación | 0.0.7 | smart-open | 5.2.1 | smmap | 5.0.0 |
| spacy | 3.2.3 | spacy-legacy | 3.0.9 | spacy-loggers | 1.0.2 |
| spark-tensorflow-distributor | 1.0.0 | sqlparse | 0.4.2 | srsly | 2.4.3 |
| ssh-import-id | 5.10 | statsmodels | 0.12.2 | tabulate | 0.8.9 |
| tangled-up-in-unicode | 0.1.0 | tenacity | 8.0.1 | tensorboard | 2.8.0 |
| tensorboard-data-server | 0.6.1 | tensorboard-plugin-profile | 2.5.0 | tensorboard-plugin-wit | 1.8.1 |
| tensorflow-cpu | 2.8.0 | tensorflow-estimator | 2.8.0 | tensorflow-io-gcs-filesystem | 0.25.0 |
| termcolor | 1.1.0 | terminado | 0.9.4 | testpath | 0.5.0 |
| tf-estimator-nightly | 2.8.0.dev2021122109 | thinc | 8.0.15 | threadpoolctl | 2.2.0 |
| tokenizers | 0.12.1 | torch | 1.11.0+cpu | torchvision | 0.12.0+cpu |
| tornado | 6.1 | tqdm | 4.62.3 | traitlets | 5.1.0 |
| transformadores | 4.17.0 | typer | 0.4.1 | typing-extensions | 3.10.0.2 |
| ujson | 4.0.2 | unattended-upgrades | 0,1 | urllib3 | 1.26.7 |
| virtualenv | 20.8.0 | visions | 0.7.4 | wasabi | 0.9.1 |
| wcwidth | 0.2.5 | webencodings | 0.5.1 | websocket-client | 1.3.1 |
| Werkzeug | 2.0.2 | wheel | 0.37.0 | widgetsnbextension | 3.6.0 |
| wrapt | 1.12.1 | xgboost | 1.5.2 | zipp | 3.6.0 |
Bibliotecas de Python en clústeres de GPU
| Biblioteca | Versión | Biblioteca | Versión | Biblioteca | Versión |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | Antergos Linux | 2015.10 (ISO-Rolling) | argon2-cffi | 20.1.0 |
| astor | 0.8.1 | astunparse | 1.6.3 | async-generator | 1.10 |
| attrs | 21.2.0 | backcall | 0.2.0 | backports.entry-points-selectable | 1.1.1 |
| bcrypt | 3.2.2 | bleach | 4.0.0 | blis | 0.7.7 |
| boto3 | 1.21.18 | botocore | 1.24.18 | cachetools | 5.1.0 |
| catalogue | 2.0.7 | certifi | 2021.10.8 | cffi | 1.14.6 |
| chardet | 4.0.0 | charset-normalizer | 2.0.4 | click | 8.0.3 |
| cloudpickle | 2.0.0 | cmdstanpy | 0.9.68 | configparser | 5.2.0 |
| convertdate | 2.4.0 | criptografía | 3.4.8 | cycler | 0.10.0 |
| cymem | 2.0.6 | Cython | 0.29.24 | databricks-automl-runtime | 0.2.8 |
| databricks-cli | 0.16.4 | dbl-tempo | 0.1.12 | dbus-python | 1.2.16 |
| debugpy | 1.4.1 | decorator | 5.1.0 | defusedxml | 0.7.1 |
| dill | 0.3.4 | diskcache | 5.4.0 | distlib | 0.3.4 |
| distro-info | 0.23ubuntu1 | entrypoints | 0,3 | ephem | 4.1.3 |
| facets-overview | 1.0.0 | fasttext | 0.9.2 | filelock | 3.3.1 |
| Flask | 1.1.2 | flatbuffers | 2.0 | fsspec | 2021.8.1 |
| future | 0.18.2 | gast | 0.5.3 | gitdb | 4.0.9 |
| GitPython | 3.1.27 | google-auth | 2.6.0 | google-auth-oauthlib | 0.4.6 |
| google-pasta | 0.2.0 | grpcio | 1.44.0 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | h5py | 3.3.0 | hijri-converter | 2.2.3 |
| vacaciones | 0,13 | horovod | 0.24.3 | htmlmin | 0.1.12 |
| huggingface-hub | 0.6.0 | idna | 3.2 | ImageHash | 4.2.1 |
| imbalanced-learn | 0.8.1 | importlib-metadata | 4.8.1 | ipykernel | 6.12.1 |
| ipython | 7.32.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.0 |
| isodate | 0.6.1 | itsdangerous | 2.0.1 | jedi | 0.18.0 |
| Jinja2 | 2.11.3 | jmespath | 0.10.0 | joblib | 1.0.1 |
| joblibspark | 0.5.0 | jsonschema | 3.2.0 | jupyter-client | 6.1.12 |
| jupyter-core | 4.8.1 | jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 |
| keras | 2.8.0 | keras-preprocessing | 1.1.2 | kiwisolver | 1.3.1 |
| korean-lunar-calendar | 0.2.1 | langcodes | 3.3.0 | libclang | 14.0.1 |
| lightgbm | 3.3.2 | llvmlite | 0.38.0 | LunarCalendar | 0.0.9 |
| Mako | 1.2.0 | Markdown | 3.3.6 | MarkupSafe | 2.0.1 |
| matplotlib | 3.4.3 | matplotlib-inline | 0.1.2 | missingno | 0.5.1 |
| mistune | 0.8.4 | mleap | 0.20.0 | mlflow-skinny | 1.26.0 |
| multimethod | 1.8 | murmurhash | 1.0.7 | nbclient | 0.5.3 |
| nbconvert | 6.1.0 | nbformat | 5.1.3 | nest-asyncio | 1.5.1 |
| networkx | 2.6.3 | nltk | 3.6.5 | notebook | 6.4.5 |
| numba | 0.55.1 | numpy | 1.20.3 | oauthlib | 3.2.0 |
| opt-einsum | 3.3.0 | empaquetado | 21.0 | pandas | 1.3.4 |
| pandas-profiling | 3.1.0 | pandocfilters | 1.4.3 | paramiko | 2.9.2 |
| parso | 0.8.2 | pathy | 0.6.1 | patsy | 0.5.2 |
| petastorm | 0.11.4 | pexpect | 4.8.0 | phik | 0.12.2 |
| pickleshare | 0.7.5 | Pillow | 8.4.0 | pip | 21.2.4 |
| platformdirs | 2.5.2 | plotly | 5.6.0 | pmdarima | 1.8.5 |
| preshed | 3.0.6 | prompt-toolkit | 3.0.20 | prophet | 1.0.1 |
| protobuf | 3.19.4 | psutil | 5.8.0 | psycopg2 | 2.9.3 |
| ptyprocess | 0.7.0 | pyarrow | 7.0.0 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.9.2 | pycparser | 2,20 |
| pydantic | 1.8.2 | Pygments | 2.10.0 | PyGObject | 3.36.0 |
| PyMeeus | 0.5.11 | PyNaCl | 1.5.0 | pyodbc | 4.0.31 |
| pyparsing | 3.0.4 | pyrsistent | 0.18.0 | pystan | 2.19.1.1 |
| python-apt | 2.0.0+ubuntu0.20.4.7 | Python-dateutil | 2.8.2 | python-editor | 1.0.4 |
| pytz | 2021.3 | PyWavelets | 1.1.1 | PyYAML | 6.0 |
| pyzmq | 22.2.1 | regex | 2021.8.3 | Solicitudes | 2.26.0 |
| requests-oauthlib | 1.3.1 | requests-unixsocket | 0.2.0 | rsa | 4.8 |
| s3transfer | 0.5.2 | sacremoses | 0.0.53 | scikit-learn | 0.24.2 |
| scipy | 1.7.1 | seaborn | 0.11.2 | Send2Trash | 1.8.0 |
| setuptools | 58.0.4 | setuptools-git | 1.2 | shap | 0.40.0 |
| simplejson | 3.17.6 | six (seis) | 1.16.0 | segmentación | 0.0.7 |
| smart-open | 5.2.1 | smmap | 5.0.0 | spacy | 3.2.3 |
| spacy-legacy | 3.0.9 | spacy-loggers | 1.0.2 | spark-tensorflow-distributor | 1.0.0 |
| sqlparse | 0.4.2 | srsly | 2.4.3 | ssh-import-id | 5.10 |
| statsmodels | 0.12.2 | tabulate | 0.8.9 | tangled-up-in-unicode | 0.1.0 |
| tenacity | 8.0.1 | tensorboard | 2.8.0 | tensorboard-data-server | 0.6.1 |
| tensorboard-plugin-profile | 2.5.0 | tensorboard-plugin-wit | 1.8.1 | tensorflow | 2.8.0 |
| tensorflow-estimator | 2.8.0 | tensorflow-io-gcs-filesystem | 0.25.0 | termcolor | 1.1.0 |
| terminado | 0.9.4 | testpath | 0.5.0 | tf-estimator-nightly | 2.8.0.dev2021122109 |
| thinc | 8.0.15 | threadpoolctl | 2.2.0 | tokenizers | 0.12.1 |
| torch | 1.11.0+cu113 | torchvision | 0.12.0+cu113 | tornado | 6.1 |
| tqdm | 4.62.3 | traitlets | 5.1.0 | transformadores | 4.17.0 |
| typer | 0.4.1 | typing-extensions | 3.10.0.2 | ujson | 4.0.2 |
| unattended-upgrades | 0,1 | urllib3 | 1.26.7 | virtualenv | 20.8.0 |
| visions | 0.7.4 | wasabi | 0.9.1 | wcwidth | 0.2.5 |
| webencodings | 0.5.1 | websocket-client | 1.3.1 | Werkzeug | 2.0.2 |
| wheel | 0.37.0 | widgetsnbextension | 3.6.0 | wrapt | 1.12.1 |
| xgboost | 1.5.2 | zipp | 3.6.0 |
Paquetes de Spark que contienen módulos de Python
| Paquete de Spark | Módulo de Python | Versión |
|---|---|---|
| graphframes | graphframes | 0.8.2-db1-spark3.2 |
Bibliotecas de R
Las bibliotecas de R son idénticas a las bibliotecas de R de Databricks Runtime 11.0.
Bibliotecas de Java y Scala (clúster de Scala 2.12)
Además de las bibliotecas de Java y Scala de Databricks Runtime 11.0, Databricks Runtime 11.0 ML contiene los archivos JAR siguientes:
Clústeres de CPU
| Identificador de grupo | Identificador de artefacto | Versión |
|---|---|---|
| com.typesafe.akka | akka-actor_2.12 | 2.5.23 |
| ml.combust.mleap | mleap-databricks-runtime_2.12 | 0.18.1-23eb1ef |
| ml.dmlc | xgboost4j-spark_2.12 | 1.5.2 |
| ml.dmlc | xgboost4j_2.12 | 1.5.2 |
| org.graphframes | graphframes_2.12 | 0.8.2-db1-spark3.2 |
| org.mlflow | mlflow-client | 1.26.0 |
| org.mlflow | mlflow-spark | 1.26.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Clústeres de GPU
| Identificador de grupo | Identificador de artefacto | Versión |
|---|---|---|
| com.typesafe.akka | akka-actor_2.12 | 2.5.23 |
| ml.combust.mleap | mleap-databricks-runtime_2.12 | 0.18.1-23eb1ef |
| ml.dmlc | xgboost4j-spark_2.12 | 1.5.2 |
| ml.dmlc | xgboost4j_2.12 | 1.5.2 |
| org.graphframes | graphframes_2.12 | 0.8.2-db1-spark3.2 |
| org.mlflow | mlflow-client | 1.26.0 |
| org.mlflow | mlflow-spark | 1.26.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |