Databricks Runtime 14.2 pour Machine Learning (EoS)
Remarque
La prise en charge de cette version databricks Runtime a pris fin. Pour connaître la date de fin de support, consultez l’historique de fin de support. Pour toutes les versions prises en charge de Databricks Runtime, consultez Notes de publication sur les versions et la compatibilité de Databricks Runtime.
Databricks Runtime 14.2 pour Machine Learning fournit un environnement prêt à l’utilisation pour le Machine Learning et la science des données basée sur Databricks Runtime 14.2 (EoS). Databricks Runtime ML contient de nombreuses bibliothèques populaires de Machine Learning, notamment TensorFlow, PyTorch et XGBoost. Databricks Runtime ML comprend AutoML, un outil permettant d’effectuer l’apprentissage automatique des pipelines Machine Learning. Databricks Runtime ML prend également en charge l'apprentissage profond distribué à l'aide d'Horovod.
Conseil
Pour afficher les notes de publication des versions de Databricks Runtime qui ont atteint la fin du support (EoS), consultez Fin de support des notes de publication des versions de Databricks Runtime. Les versions EoS de Databricks Runtime ont été supprimées et peuvent ne pas être mises à jour.
Améliorations et nouvelles fonctionnalités
Databricks Runtime 14.2 ML est basé sur Databricks Runtime 14.2. Pour plus d’informations sur les nouveautés de Databricks Runtime 14.2, notamment Apache Spark MLlib et SparkR, consultez les notes de publication de Databricks Runtime 14.2 (EoS).
Environnement du système
L’environnement système dans Databricks Runtime 14.2 ML diffère de celui de Databricks Runtime 14.2 comme suit :
- DBUtils : Databricks Runtime ML n’inclut pas l’Utilitaire de bibliothèque (dbutils.library) (hérité).
Utilisez les commandes
%pipà la place. Consultez Bibliothèques Python délimitées à un notebook. - Pour les clusters GPU, Databricks Runtime ML inclut les bibliothèques GPU NVIDIA suivantes :
- CUDA11.8
- cuDNN 8.9.0.131-1
- NCCL 2.15.5
- TensorRT 8.5.3-1
Databricks Runtime 14.2 ML inclut XGBoost 1.7.6, qui ne prend pas en charge les clusters GPU avec une capacité de calcul 5.2 et inférieure.
Bibliothèques
Les sections suivantes listent les bibliothèques comprises dans Databricks Runtime 14.2 ML qui diffèrent de celles comprises dans Databricks Runtime 14.2.
Dans cette section :
- Bibliothèques de niveau supérieur
- Bibliothèques Python
- Bibliothèques R
- Bibliothèques Java et Scala (cluster Scala 2.12)
Bibliothèques de niveau supérieur
Databricks Runtime 14.2 ML comprend les bibliothèques de premier niveau suivantes :
- GraphFrames
- Horovod et HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow
- TensorBoard
- Scikit-learn
Bibliothèques Python
Databricks Runtime 14.2 ML utilise virtualenv pour la gestion des packages Python et comprend de nombreux packages ML populaires.
En plus des packages spécifiés dans les sections suivantes, Databricks Runtime 14.2 ML comprend également les packages suivants :
- hyperopt 0.2.7+db4
- sparkdl 3.0.0_db1
- automl 1.23.0
Pour reproduire l’environnement Databricks Runtime ML Python dans votre environnement virtuel Python local, téléchargez le fichier requirements-14.2.txt et exécutez pip install -r requirements-14.2.txt. Cette commande installe toutes les bibliothèques open source que Databricks Runtime ML utilise, mais n’installe pas les bibliothèques développées Azure Databricks, telles que databricks-automl, databricks-feature-store ou la duplication Databricks de hyperopt.
Bibliothèques Python sur les clusters UC
| Bibliothèque | Version | Bibliothèque | Version | Bibliothèque | Version |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.23.0 | aiohttp | 3.8.6 |
| 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 | lecture audio | 3.0.1 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.18.3 | azure-storage-file-datalake | 12.13.2 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.11 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.2 | catalogue | 2.0.10 | category-encoders | 2.6.2 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | click | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.0.0 | cmdstanpy | 1.2.0 | comm | 0.1.2 |
| confection | 0.1.3 | configparser | 5.2.0 | contourpy | 1.0.5 |
| chiffrement | 39.0.1 | cycler | 0.11.0 | cymem | 2.0.8 |
| Cython | 0.29.32 | dacite | 1.8.1 | databricks-automl-runtime | 0.2.20 |
| databricks-cli | 0.18.0 | databricks-feature-engineering | 0.1.2 | databricks-feature-store | 0.16.1 |
| databricks-sdk | 0.1.6 | dataclasses-json | 0.6.1 | jeux de données | 2.14.5 |
| dbl-tempo | 0.1.26 | dbus-python | 1.2.18 | debugpy | 1.6.7 |
| decorator | 5.1.1 | deepspeed | 0.11.1 | defusedxml | 0.7.1 |
| dill | 0.3.6 | diskcache | 5.6.3 | distlib | 0.3.7 |
| docstring-to-markdown | 0.11 | entrypoints | 0,4 | evaluate | 0.4.1 |
| exécuter | 0.8.3 | facets-overview | 1.1.1 | fastjsonschema | 2.18.1 |
| 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 | 2023.6.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.27 | google-api-core | 2.12.0 |
| google-auth | 2.21.0 | google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 |
| google-cloud-storage | 2.11.0 | google-crc32c | 1.5.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.6.0 | googleapis-common-protos | 1.61.0 | greenlet | 2.0.1 |
| grpcio | 1.48.2 | grpcio-status | 1.48.1 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| holidays | 0,35 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | huggingface-hub | 0.16.4 | idna | 3.4 |
| ImageHash | 4.3.1 | imbalanced-learn | 0.11.0 | importlib-metadata | 4.11.3 |
| importlib-resources | 6.1.0 | 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 | jsonpatch | 1.33 | jsonpointer | 2.4 |
| 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 | 2.14.0 | keyring | 23.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.0.314 | langcodes | 3.3.0 | langsmith | 0.0.56 |
| launchpadlib | 1.10.16 | lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 |
| lazy_loader | 0.3 | libclang | 15.0.6.1 | librosa | 0.10.1 |
| lightgbm | 4.1.0 | llvmlite | 0.39.1 | 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 | ml-dtypes | 0.2.0 |
| mlflow-skinny | 2.8.0 | more-itertools | 8.10.0 | mpmath | 1.2.1 |
| msgpack | 1.0.7 | multidict | 6.0.4 | multimethod | 1,10 |
| multiprocess | 0.70.14 | murmurhash | 1.0.10 | 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 | 1.11.1.1 | nltk | 3.7 | nodeenv | 1.8.0 |
| notebook | 6.5.2 | notebook_shim | 0.2.2 | numba | 0.56.4 |
| numpy | 1.23.5 | oauthlib | 3.2.0 | openai | 0.28.1 |
| opt-einsum | 3.3.0 | empaquetage | 22.0 | pandas | 1.5.3 |
| pandocfilters | 1.5.0 | paramiko | 2.9.2 | parso | 0.8.3 |
| pathspec | 0.10.3 | pathy | 0.10.3 | 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 | 3.0.9 |
| prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 | prophet | 1.1.5 |
| 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 | 3.1.0 | Pygments | 2.11.2 | PyGObject | 3.42.1 |
| PyJWT | 2.3.0 | 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-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.1.1 | python-lsp-server | 1.8.0 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6.0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | requêtes | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | rope | 1.7.0 |
| rsa | 4,9 | s3transfer | 0.6.2 | safetensors | 0.4.0 |
| scikit-learn | 1.1.1 | scipy | 1.10.0 | 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 | 0.43.0 |
| simplejson | 3.17.6 | six | 1.16.0 | segment | 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 | 0.3.7 |
| spacy | 3.7.1 | spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 |
| spark-tensorflow-distributor | 1.0.0 | SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 |
| srsly | 2.4.8 | ssh-import-id | 5.11 | stack-data | 0.2.0 |
| stanio | 0.3.0 | statsmodels | 0.13.5 | sympy | 1.11.1 |
| tabulate | 0.8.10 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 |
| tensorboard | 2.14.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.14.0 |
| tensorflow-cpu | 2.14.0 | tensorflow-estimator | 2.14.0 | tensorflow-io-gcs-filesystem | 0.34.0 |
| termcolor | 2.3.0 | terminado | 0.17.1 | thinc | 8.2.1 |
| threadpoolctl | 2.2.0 | tiktoken | 0.5.1 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | générateurs de jetons | 0.14.0 | 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 | transformateurs | 4.34.0 |
| 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 | virtualenv | 20.16.7 | visions | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.2 | wcwidth | 0.2.5 |
| weasel | 0.3.3 | webencodings | 0.5.1 | websocket-client | 0.58.0 |
| 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 | 3.4.1 | yapf | 0.33.0 |
| yarl | 1.9.2 | ydata-profiling | 4.2.0 | zipp | 3.11.0 |
Bibliothèques Python sur les clusters GPU
| Bibliothèque | Version | Bibliothèque | Version | Bibliothèque | Version |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.23.0 | aiohttp | 3.8.6 |
| 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 | lecture audio | 3.0.1 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.18.3 | azure-storage-file-datalake | 12.13.2 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.11 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.2 | catalogue | 2.0.10 | category-encoders | 2.6.2 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | click | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.0.0 | cmake | 3.27.7 | cmdstanpy | 1.2.0 |
| comm | 0.1.2 | confection | 0.1.3 | configparser | 5.2.0 |
| contourpy | 1.0.5 | chiffrement | 39.0.1 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.20 | databricks-cli | 0.18.0 | databricks-feature-engineering | 0.1.2 |
| databricks-feature-store | 0.16.1 | databricks-sdk | 0.1.6 | dataclasses-json | 0.6.1 |
| jeux de données | 2.14.5 | dbl-tempo | 0.1.26 | dbus-python | 1.2.18 |
| debugpy | 1.6.7 | decorator | 5.1.1 | deepspeed | 0.11.1 |
| defusedxml | 0.7.1 | dill | 0.3.6 | diskcache | 5.6.3 |
| distlib | 0.3.7 | docstring-to-markdown | 0.11 | einops | 0.7.0 |
| entrypoints | 0,4 | evaluate | 0.4.1 | exécuter | 0.8.3 |
| facets-overview | 1.1.1 | fastjsonschema | 2.18.1 | fasttext | 0.9.2 |
| filelock | 3.9.0 | flash-attn | 2.3.2 | Flask | 2.2.5 |
| flatbuffers | 23.5.26 | fonttools | 4.25.0 | frozenlist | 1.4.0 |
| fsspec | 2023.6.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.27 | google-api-core | 2.12.0 |
| google-auth | 2.21.0 | google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 |
| google-cloud-storage | 2.11.0 | google-crc32c | 1.5.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.6.0 | googleapis-common-protos | 1.61.0 | greenlet | 2.0.1 |
| grpcio | 1.48.2 | grpcio-status | 1.48.1 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| holidays | 0,35 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | huggingface-hub | 0.16.4 | idna | 3.4 |
| ImageHash | 4.3.1 | imbalanced-learn | 0.11.0 | importlib-metadata | 4.11.3 |
| importlib-resources | 6.1.0 | 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 | jsonpatch | 1.33 | jsonpointer | 2.4 |
| 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 | 2.14.0 | keyring | 23.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.0.314 | langcodes | 3.3.0 | langsmith | 0.0.56 |
| launchpadlib | 1.10.16 | lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 |
| lazy_loader | 0.3 | libclang | 15.0.6.1 | librosa | 0.10.1 |
| lightgbm | 4.1.0 | lit | 17.0.4 | llvmlite | 0.39.1 |
| 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 |
| ml-dtypes | 0.2.0 | mlflow-skinny | 2.8.0 | more-itertools | 8.10.0 |
| mpmath | 1.2.1 | msgpack | 1.0.7 | multidict | 6.0.4 |
| multimethod | 1,10 | multiprocess | 0.70.14 | murmurhash | 1.0.10 |
| 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 | 1.11.1.1 | nltk | 3.7 |
| nodeenv | 1.8.0 | notebook | 6.5.2 | notebook_shim | 0.2.2 |
| numba | 0.56.4 | numpy | 1.23.5 | oauthlib | 3.2.0 |
| openai | 0.28.1 | opt-einsum | 3.3.0 | empaquetage | 22.0 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
| parso | 0.8.3 | pathspec | 0.10.3 | pathy | 0.10.3 |
| 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 | 3.0.9 | prompt-toolkit | 3.0.36 | prophet | 1.1.5 |
| 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 | 3.1.0 | Pygments | 2.11.2 | PyGObject | 3.42.1 |
| PyJWT | 2.3.0 | 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-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.1.1 | python-lsp-server | 1.8.0 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6.0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | requêtes | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | rope | 1.7.0 |
| rsa | 4,9 | s3transfer | 0.6.2 | safetensors | 0.4.0 |
| scikit-learn | 1.1.1 | scipy | 1.10.0 | 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 | 0.43.0 |
| simplejson | 3.17.6 | six | 1.16.0 | segment | 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 | 0.3.7 |
| spacy | 3.7.1 | spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 |
| spark-tensorflow-distributor | 1.0.0 | SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 |
| srsly | 2.4.8 | ssh-import-id | 5.11 | stack-data | 0.2.0 |
| stanio | 0.3.0 | statsmodels | 0.13.5 | sympy | 1.11.1 |
| tabulate | 0.8.10 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 |
| tensorboard | 2.14.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.14.0 |
| tensorflow | 2.14.0 | tensorflow-estimator | 2.14.0 | tensorflow-io-gcs-filesystem | 0.34.0 |
| termcolor | 2.3.0 | terminado | 0.17.1 | thinc | 8.2.1 |
| threadpoolctl | 2.2.0 | tiktoken | 0.5.1 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | générateurs de jetons | 0.14.0 | 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 | transformateurs | 4.34.0 |
| 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 | virtualenv | 20.16.7 |
| visions | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.2 |
| wcwidth | 0.2.5 | weasel | 0.3.3 | webencodings | 0.5.1 |
| websocket-client | 0.58.0 | 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 | 3.4.1 |
| yapf | 0.33.0 | yarl | 1.9.2 | ydata-profiling | 4.2.0 |
| zipp | 3.11.0 |
Bibliothèques R
Les bibliothèques R sont identiques aux bibliothèques R dans Databricks Runtime 14.2.
Bibliothèques Java et Scala (cluster Scala 2.12)
En plus des bibliothèques Java et Scala dans Databricks Runtime 14.2, Databricks Runtime 14.2 ML contient les fichiers JAR suivants :
Clusters UC
| ID de groupe | ID d’artefact | Version |
|---|---|---|
| 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 | 2.8.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Clusters GPU
| ID de groupe | ID d’artefact | Version |
|---|---|---|
| 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 | 2.8.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |