Databricks Runtime 14.0 para Machine Learning (sin soporte técnico)
Databricks Runtime 14.0 para Machine Learning proporciona un entorno listo para usar de aprendizaje automático y ciencia de datos basado en Databricks Runtime 14.0 (sin soporte técnico). 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 Machine Learning en Databricks.
Nuevas características y mejoras
Databricks Runtime 14.0 ML se basa en Databricks Runtime 14.0. Para más información sobre las novedades de Databricks Runtime 14.0, incluyendo Apache Spark MLlib y SparkR, consulte las notas de la versión de Databricks Runtime 14.0 (sin soporte técnico).
Entorno del sistema
El entorno del sistema de Databricks Runtime 14.0 ML se diferencia del de Databricks Runtime 14.0 en los siguientes aspectos:
- DBUtils: Databricks Runtime ML no incluye la utilidad Library (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 11.8
- cuDNN 8.9.0.131-1
- NCCL 2.15.1
- TensorRT 8.5.3-1
Databricks Runtime 14.0 ML incluye XGBoost 1.7.6, que no admite clústeres de GPU con capacidad de proceso 5.2 ni versiones anteriores.
Los siguientes paquetes incluidos en versiones anteriores de Databricks Runtime ML se han quitado en Databricks Runtime 14.0 ML:
- miniconda
- MLeap
Bibliotecas
En las siguientes secciones, se enumeran las bibliotecas que se incluyen en Databricks Runtime 14.0 ML, que difieren de las que se incluyen en Databricks Runtime 14.0.
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 14.0 ML incluye las siguientes bibliotecas de nivel superior:
- GraphFrames
- Horovod y HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow
- TensorBoard
- Scikit-learn
Bibliotecas de Python
En Databricks Runtime 14.0 ML se usa Virtualenv para administrar los paquetes de Python. Además, incluye muchos paquetes populares de ML.
Además de los paquetes especificados en las siguientes secciones, Databricks Runtime 14.0 ML también incluye estos paquetes:
- hyperopt 0.2.7.db4
- sparkdl 3.0.0_db1
- automl 1.21.1
Para reproducir el entorno de Python de Databricks Runtime ML en el entorno virtual local de Python, descargue el archivo requirements-14.0.txt y ejecute pip install -r requirements-14.0.txt. Este comando instala todas las bibliotecas de código abierto que usa Databricks Runtime ML, pero no instala bibliotecas que desarrolla Databricks, como databricks-automl, databricks-feature-store o la bifurcación de Databricks de hyperopt.
Bibliotecas de Python en clústeres de CPU
| Biblioteca | Versión | Biblioteca | Versión | Biblioteca | Versión |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.21.0 | aiohttp | 3.8.5 |
| aiosignal | 1.3.1 | anyio | 3.5.0 | appdirs | 1.4.4 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | astor | 0.8.1 |
| asttokens | 2.0.5 | astunparse | 1.6.3 | async-timeout | 4.0.3 |
| attrs | 22.1.0 | audioread | 3.0.0 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.17.0 | azure-storage-file-datalake | 12.12.0 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.10 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.1 | catalogue | 2.0.9 | category-encoders | 2.6.1 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | click | 8.0.4 | cloudpickle | 2.0.0 |
| cmdstanpy | 1.1.0 | comm | 0.1.2 | confection | 0.1.1 |
| configparser | 5.2.0 | contourpy | 1.0.5 | convertdate | 2.4.0 |
| criptografía | 39.0.1 | cycler | 0.11.0 | cymem | 2.0.7 |
| Cython | 0.29.32 | dacite | 1.8.1 | databricks-automl-runtime | 0.2.18 |
| databricks-cli | 0.17.7 | databricks-feature-store | 0.14.1 | databricks-sdk | 0.1.6 |
| dataclasses-json | 0.5.14 | conjuntos de datos | 2.14.1 | dbl-tempo | 0.1.23 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.10.0 | defusedxml | 0.7.1 | dill | 0.3.6 |
| diskcache | 5.6.1 | distlib | 0.3.7 | docstring-to-markdown | 0,11 |
| entrypoints | 0,4 | ephem | 4.1.4 | evaluate | 0.4.0 |
| executing | 0.8.3 | facets-overview | 1.1.1 | fastapi | 0.98.0 |
| fastjsonschema | 2.18.0 | fasttext | 0.9.2 | filelock | 3.9.0 |
| Flask | 2.2.5 | flatbuffers | 23.5.26 | fonttools | 4.25.0 |
| frozenlist | 1.4.0 | fsspec | 2022.11.0 | future | 0.18.3 |
| gast | 0.4.0 | Biblioteca en tiempo de ejecución de GCC | 1.10.0 | gitdb | 4.0.10 |
| GitPython | 3.1.27 | google-api-core | 2.11.1 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 | google-cloud-storage | 2.10.0 |
| google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.5.0 |
| googleapis-common-protos | 1.60.0 | greenlet | 2.0.1 | grpcio | 1.48.2 |
| grpcio-status | 1.48.1 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
| h11 | 0.14.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| holidays | 0,28 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | httptools | 0.6.0 | huggingface-hub | 0.14.1 |
| idna | 3.4 | ImageHash | 4.3.1 | imbalanced-learn | 0.10.1 |
| importlib-metadata | 4.11.3 | importlib-resources | 6.0.1 | ipykernel | 6.25.0 |
| ipython | 8.14.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| isodate | 0.6.1 | itsdangerous | 2.0.1 | jedi | 0.18.1 |
| jeepney | 0.7.1 | Jinja2 | 3.1.2 | jmespath | 0.10.0 |
| joblib | 1.2.0 | joblibspark | 0.5.1 | jsonschema | 4.17.3 |
| jupyter-client | 7.3.4 | jupyter-server | 1.23.4 | jupyter_core | 5.2.0 |
| jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 | keras | 2.13.1 |
| keyring | 23.5.0 | kiwisolver | 1.4.4 | langchain | 0.0.225 |
| langchainplus-sdk | 0.0.20 | langcodes | 3.3.0 | launchpadlib | 1.10.16 |
| lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 | lazy_loader | 0,3 |
| libclang | 15.0.6.1 | librosa | 0.10.0 | lightgbm | 3.3.5 |
| llvmlite | 0.39.1 | LunarCalendar | 0.0.9 | lxml | 4.9.1 |
| Mako | 1.2.0 | Markdown | 3.4.1 | MarkupSafe | 2.1.1 |
| marshmallow | 3.20.1 | matplotlib | 3.7.0 | matplotlib-inline | 0.1.6 |
| mccabe | 0.7.0 | mistune | 0.8.4 | mlflow-skinny | 2.5.0 |
| more-itertools | 8.10.0 | mpmath | 1.2.1 | msgpack | 1.0.5 |
| multidict | 6.0.4 | multimethod | 1.9.1 | multiprocess | 0.70.14 |
| murmurhash | 1.0.9 | mypy-extensions | 0.4.3 | nbclassic | 0.5.2 |
| nbclient | 0.5.13 | nbconvert | 6.5.4 | nbformat | 5.7.0 |
| nest-asyncio | 1.5.6 | networkx | 2.8.4 | ninja | 1.11.1 |
| nltk | 3.7 | nodeenv | 1.8.0 | notebook | 6.5.2 |
| notebook_shim | 0.2.2 | numba | 0.56.4 | numexpr | 2.8.4 |
| numpy | 1.23.5 | oauthlib | 3.2.0 | openai | 0.27.8 |
| openapi-schema-pydantic | 1.2.4 | opt-einsum | 3.3.0 | empaquetado | 22,0 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
| parso | 0.8.3 | pathspec | 0.10.3 | pathy | 0.10.2 |
| patsy | 0.5.3 | petastorm | 0.12.1 | pexpect | 4.8.0 |
| phik | 0.12.3 | pickleshare | 0.7.5 | Pillow | 9.4.0 |
| pip | 22.3.1 | platformdirs | 2.5.2 | plotly | 5.9.0 |
| pluggy | 1.0.0 | pmdarima | 2.0.3 | pooch | 1.4.0 |
| preshed | 3.0.8 | prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 |
| prophet | 1.1.4 | protobuf | 4.24.0 | psutil | 5.9.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pure-eval | 0.2.2 |
| py-cpuinfo | 9.0.0 | pyarrow | 8.0.0 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.11.1 | pycparser | 2.21 |
| pydantic | 1.10.6 | pyflakes | 3.0.1 | Pygments | 2.11.2 |
| PyGObject | 3.42.1 | PyJWT | 2.3.0 | PyMeeus | 0.5.12 |
| PyNaCl | 1.5.0 | pyodbc | 4.0.32 | pyparsing | 3.0.9 |
| pyright | 1.1.294 | pyrsistent | 0.18.0 | pytesseract | 0.3.10 |
| Python-dateutil | 2.8.2 | python-dotenv | 1.0.0 | python-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.0.0 | python-lsp-server | 1.7.1 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6.0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | requests | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | rope | 1.7.0 |
| rsa | 4,9 | s3transfer | 0.6.2 | safetensors | 0.3.2 |
| scikit-learn | 1.1.1 | seaborn | 0.12.2 | SecretStorage | 3.3.1 |
| Send2Trash | 1.8.0 | sentence-transformers | 2.2.2 | sentencepiece | 0.1.99 |
| setuptools | 65.6.3 | shap | 0.41.0 | simplejson | 3.17.6 |
| six (seis) | 1.16.0 | segmentación | 0.0.7 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.2.0 | soundfile | 0.12.1 |
| soupsieve | 2.3.2.post1 | soxr | 0.3.6 | spacy | 3.5.4 |
| spacy-legacy | 3.0.12 | spacy-loggers | 1.0.4 | spark-tensorflow-distributor | 1.0.0 |
| SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 | srsly | 2.4.7 |
| ssh-import-id | 5.11 | stack-data | 0.2.0 | starlette | 0.27.0 |
| statsmodels | 0.13.5 | sympy | 1.11.1 | tabulate | 0.8.10 |
| tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 | tensorboard | 2.13.0 |
| tensorboard-data-server | 0.7.1 | tensorboard-plugin-profile | 2.13.0 | tensorflow-cpu | 2.13.0 |
| tensorflow-estimator | 2.13.0 | tensorflow-io-gcs-filesystem | 0.33.0 | termcolor | 2.3.0 |
| terminado | 0.17.1 | thinc | 8.1.12 | threadpoolctl | 2.2.0 |
| tiktoken | 0.4.0 | tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 |
| tokenizers | 0.13.3 | tomli | 2.0.1 | torch | 2.0.1+cpu |
| torchvision | 0.15.2+cpu | tornado | 6.1 | tqdm | 4.64.1 |
| traitlets | 5.7.1 | transformers | 4.31.0 | typeguard | 2.13.3 |
| typer | 0.9.0 | typing-inspect | 0.9.0 | typing_extensions | 4.4.0 |
| ujson | 5.4.0 | unattended-upgrades | 0,1 | urllib3 | 1.26.14 |
| uvicorn | 0.23.2 | uvloop | 0.17.0 | virtualenv | 20.16.7 |
| visions | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.2 |
| watchfiles | 0.19.0 | wcwidth | 0.2.5 | webencodings | 0.5.1 |
| websocket-client | 0.58.0 | websockets | 11.0.3 | Werkzeug | 2.2.2 |
| whatthepatch | 1.0.2 | wheel | 0.38.4 | widgetsnbextension | 3.6.1 |
| wordcloud | 1.9.2 | wrapt | 1.14.1 | xgboost | 1.7.6 |
| xxhash | 3.3.0 | yapf | 0.31.0 | yarl | 1.9.2 |
| ydata-profiling | 4.2.0 | zipp | 3.11.0 |
Bibliotecas de Python en clústeres de GPU
| Biblioteca | Versión | Biblioteca | Versión | Biblioteca | Versión |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.21.0 | aiohttp | 3.8.5 |
| aiosignal | 1.3.1 | anyio | 3.5.0 | appdirs | 1.4.4 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | astor | 0.8.1 |
| asttokens | 2.0.5 | astunparse | 1.6.3 | async-timeout | 4.0.3 |
| attrs | 22.1.0 | audioread | 3.0.0 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.17.0 | azure-storage-file-datalake | 12.12.0 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.10 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.1 | catalogue | 2.0.9 | category-encoders | 2.6.1 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | click | 8.0.4 | cloudpickle | 2.0.0 |
| cmake | 3.27.2 | cmdstanpy | 1.1.0 | comm | 0.1.2 |
| confection | 0.1.1 | configparser | 5.2.0 | contourpy | 1.0.5 |
| convertdate | 2.4.0 | criptografía | 39.0.1 | cycler | 0.11.0 |
| cymem | 2.0.7 | Cython | 0.29.32 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.18 | databricks-cli | 0.17.7 | databricks-feature-store | 0.14.1 |
| databricks-sdk | 0.1.6 | dataclasses-json | 0.5.14 | conjuntos de datos | 2.14.1 |
| dbl-tempo | 0.1.23 | dbus-python | 1.2.18 | debugpy | 1.6.7 |
| decorator | 5.1.1 | deepspeed | 0.10.0 | defusedxml | 0.7.1 |
| dill | 0.3.6 | diskcache | 5.6.1 | distlib | 0.3.7 |
| docstring-to-markdown | 0,11 | einops | 0.6.1 | entrypoints | 0,4 |
| ephem | 4.1.4 | evaluate | 0.4.0 | executing | 0.8.3 |
| facets-overview | 1.1.1 | fastapi | 0.98.0 | fastjsonschema | 2.18.0 |
| fasttext | 0.9.2 | filelock | 3.9.0 | flash-attn | 2.0.1 |
| Flask | 2.2.5 | flatbuffers | 23.5.26 | fonttools | 4.25.0 |
| frozenlist | 1.4.0 | fsspec | 2022.11.0 | future | 0.18.3 |
| gast | 0.4.0 | Biblioteca en tiempo de ejecución de GCC | 1.10.0 | gitdb | 4.0.10 |
| GitPython | 3.1.27 | google-api-core | 2.11.1 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 | google-cloud-storage | 2.10.0 |
| google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.5.0 |
| googleapis-common-protos | 1.60.0 | greenlet | 2.0.1 | grpcio | 1.48.2 |
| grpcio-status | 1.48.1 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
| h11 | 0.14.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| holidays | 0,28 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | httptools | 0.6.0 | huggingface-hub | 0.14.1 |
| idna | 3.4 | ImageHash | 4.3.1 | imbalanced-learn | 0.10.1 |
| importlib-metadata | 4.11.3 | importlib-resources | 6.0.1 | ipykernel | 6.25.0 |
| ipython | 8.14.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| isodate | 0.6.1 | itsdangerous | 2.0.1 | jedi | 0.18.1 |
| jeepney | 0.7.1 | Jinja2 | 3.1.2 | jmespath | 0.10.0 |
| joblib | 1.2.0 | joblibspark | 0.5.1 | jsonschema | 4.17.3 |
| jupyter-client | 7.3.4 | jupyter-server | 1.23.4 | jupyter_core | 5.2.0 |
| jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 | keras | 2.13.1 |
| keyring | 23.5.0 | kiwisolver | 1.4.4 | langchain | 0.0.225 |
| langchainplus-sdk | 0.0.20 | langcodes | 3.3.0 | launchpadlib | 1.10.16 |
| lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 | lazy_loader | 0,3 |
| libclang | 15.0.6.1 | librosa | 0.10.0 | lightgbm | 3.3.5 |
| lit | 16.0.6 | llvmlite | 0.39.1 | LunarCalendar | 0.0.9 |
| lxml | 4.9.1 | Mako | 1.2.0 | Markdown | 3.4.1 |
| MarkupSafe | 2.1.1 | marshmallow | 3.20.1 | matplotlib | 3.7.0 |
| matplotlib-inline | 0.1.6 | mccabe | 0.7.0 | mistune | 0.8.4 |
| mlflow-skinny | 2.5.0 | more-itertools | 8.10.0 | mpmath | 1.2.1 |
| msgpack | 1.0.5 | multidict | 6.0.4 | multimethod | 1.9.1 |
| multiprocess | 0.70.14 | murmurhash | 1.0.9 | mypy-extensions | 0.4.3 |
| nbclassic | 0.5.2 | nbclient | 0.5.13 | nbconvert | 6.5.4 |
| nbformat | 5.7.0 | nest-asyncio | 1.5.6 | networkx | 2.8.4 |
| ninja | 1.11.1 | nltk | 3.7 | nodeenv | 1.8.0 |
| notebook | 6.5.2 | notebook_shim | 0.2.2 | numba | 0.56.4 |
| numexpr | 2.8.4 | numpy | 1.23.5 | oauthlib | 3.2.0 |
| openai | 0.27.8 | openapi-schema-pydantic | 1.2.4 | opt-einsum | 3.3.0 |
| empaquetado | 22,0 | pandas | 1.5.3 | pandocfilters | 1.5.0 |
| paramiko | 2.9.2 | parso | 0.8.3 | pathspec | 0.10.3 |
| pathy | 0.10.2 | patsy | 0.5.3 | petastorm | 0.12.1 |
| pexpect | 4.8.0 | phik | 0.12.3 | pickleshare | 0.7.5 |
| Pillow | 9.4.0 | pip | 22.3.1 | platformdirs | 2.5.2 |
| plotly | 5.9.0 | pluggy | 1.0.0 | pmdarima | 2.0.3 |
| pooch | 1.4.0 | preshed | 3.0.8 | prompt-toolkit | 3.0.36 |
| prophet | 1.1.4 | protobuf | 4.24.0 | psutil | 5.9.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pure-eval | 0.2.2 |
| py-cpuinfo | 9.0.0 | pyarrow | 8.0.0 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.11.1 | pycparser | 2.21 |
| pydantic | 1.10.6 | pyflakes | 3.0.1 | Pygments | 2.11.2 |
| PyGObject | 3.42.1 | PyJWT | 2.3.0 | PyMeeus | 0.5.12 |
| PyNaCl | 1.5.0 | pyodbc | 4.0.32 | pyparsing | 3.0.9 |
| pyright | 1.1.294 | pyrsistent | 0.18.0 | pytesseract | 0.3.10 |
| Python-dateutil | 2.8.2 | python-dotenv | 1.0.0 | python-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.0.0 | python-lsp-server | 1.7.1 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6.0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | requests | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | rope | 1.7.0 |
| rsa | 4,9 | s3transfer | 0.6.2 | safetensors | 0.3.2 |
| scikit-learn | 1.1.1 | seaborn | 0.12.2 | SecretStorage | 3.3.1 |
| Send2Trash | 1.8.0 | sentence-transformers | 2.2.2 | sentencepiece | 0.1.99 |
| setuptools | 65.6.3 | shap | 0.41.0 | simplejson | 3.17.6 |
| six (seis) | 1.16.0 | segmentación | 0.0.7 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.2.0 | soundfile | 0.12.1 |
| soupsieve | 2.3.2.post1 | soxr | 0.3.6 | spacy | 3.5.4 |
| spacy-legacy | 3.0.12 | spacy-loggers | 1.0.4 | spark-tensorflow-distributor | 1.0.0 |
| SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 | srsly | 2.4.7 |
| ssh-import-id | 5.11 | stack-data | 0.2.0 | starlette | 0.27.0 |
| statsmodels | 0.13.5 | sympy | 1.11.1 | tabulate | 0.8.10 |
| tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 | tensorboard | 2.13.0 |
| tensorboard-data-server | 0.7.1 | tensorboard-plugin-profile | 2.13.0 | tensorflow | 2.13.0 |
| tensorflow-estimator | 2.13.0 | tensorflow-io-gcs-filesystem | 0.33.0 | termcolor | 2.3.0 |
| terminado | 0.17.1 | thinc | 8.1.12 | threadpoolctl | 2.2.0 |
| tiktoken | 0.4.0 | tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 |
| tokenizers | 0.13.3 | tomli | 2.0.1 | torch | 2.0.1+cu118 |
| torchvision | 0.15.2+cu118 | tornado | 6.1 | tqdm | 4.64.1 |
| traitlets | 5.7.1 | transformers | 4.31.0 | triton | 2.0.0 |
| typeguard | 2.13.3 | typer | 0.9.0 | typing-inspect | 0.9.0 |
| typing_extensions | 4.4.0 | ujson | 5.4.0 | unattended-upgrades | 0,1 |
| urllib3 | 1.26.14 | uvicorn | 0.23.2 | uvloop | 0.17.0 |
| virtualenv | 20.16.7 | visions | 0.7.5 | wadllib | 1.3.6 |
| wasabi | 1.1.2 | watchfiles | 0.19.0 | wcwidth | 0.2.5 |
| webencodings | 0.5.1 | websocket-client | 0.58.0 | websockets | 11.0.3 |
| Werkzeug | 2.2.2 | whatthepatch | 1.0.2 | wheel | 0.38.4 |
| widgetsnbextension | 3.6.1 | wordcloud | 1.9.2 | wrapt | 1.14.1 |
| xgboost | 1.7.6 | xxhash | 3.3.0 | yapf | 0.31.0 |
| yarl | 1.9.2 | ydata-profiling | 4.2.0 | zipp | 3.11.0 |
Bibliotecas de R
Las bibliotecas de R son idénticas a las bibliotecas de R de Databricks Runtime 14.0.
Bibliotecas de Java y Scala (clúster de Scala 2.12)
Además de las bibliotecas de Java y Scala de Databricks Runtime 14.0, los siguientes archivos JAR también se incluyen en Databricks Runtime 14.0 ML:
Clústeres de CPU
| Identificador de grupo | Identificador de artefacto | Versión |
|---|---|---|
| com.typesafe.akka | akka-actor_2.12 | 2.5.23 |
| ml.dmlc | xgboost4j-spark_2.12 | 1.7.3 |
| ml.dmlc | xgboost4j_2.12 | 1.7.3 |
| org.graphframes | graphframes_2.12 | 0.8.2-db2-spark3.4 |
| org.mlflow | mlflow-client | 2.5.0 |
| 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.dmlc | xgboost4j-gpu_2.12 | 1.7.3 |
| ml.dmlc | xgboost4j-spark-gpu_2.12 | 1.7.3 |
| org.graphframes | graphframes_2.12 | 0.8.2-db2-spark3.4 |
| org.mlflow | mlflow-client | 2.5.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |