Databricks Runtime 14.3 LTS pour le Machine Learning
Databricks Runtime 14.3 LTS pour le Machine Learning fournit un environnement prêt à l’emploi pour l’apprentissage automatique et la science des données, basé sur Databricks Runtime 14.3 LTS. 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.
Améliorations et nouvelles fonctionnalités
Databricks Runtime 14.3 LTS ML s’appuie sur Databricks Runtime 14.3 LTS. Pour en savoir plus sur les nouveautés de Databricks Runtime 14.3 LTS, notamment Apache Spark MLlib et SparkR, consultez les notes de publication de Databricks Runtime 14.3 LTS.
Environnement du système
L’environnement système dans Databricks Runtime 14.3 LTS ML diffère de Databricks Runtime 14.3 LTS comme suit :
- 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 14.3 LTS ML inclut XGBoost 1.7.6, qui ne prend pas en charge les clusters GPU avec une capacité de calcul 5.2 et antérieure.
Bibliothèques
Les sections suivantes répertorient les bibliothèques incluses dans Databricks Runtime 14.3 LTS ML qui diffèrent de celles incluses dans Databricks Runtime 14.3 LTS.
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 14.3 LTS ML inclut les bibliothèques de haut niveau suivantes :
- GraphFrames
- Horovod et HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow
- TensorBoard
- Scikit-learn
Bibliothèques Python
Databricks Runtime 14.3 ML utilise virtualenv pour la gestion des packages Python et inclut de nombreux packages ML répandus.
Outre les packages spécifiés dans les sections suivantes, Databricks Runtime 14.3 LTS ML inclut également les packages suivants :
- hyperopt 0.2.7+db4
- sparkdl 3.0.0_db1
- automl 1.24.0
Pour reproduire l’environnement Databricks Runtime ML Python dans votre environnement virtuel Python local, téléchargez le fichier requirements-14.3.txt et exécutez pip install -r requirements-14.3.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 | 0.25.0 | aiohttp | 3.9.1 |
| 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 | 12.19.0 | azure-storage-file-datalake | 12.14.0 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.11 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.2 | catalogue | 2.0.10 | category-encoders | 2.6.3 |
| 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 | 0.1.4 | 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 | 0.2.0 | databricks-sdk | 0.1.6 |
| dataclasses-json | 0.6.3 | jeux de données | 2.15.0 | dbl-tempo | 0.1.26 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.12.4 | 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 | 2.19.1 | fasttext | 0.9.2 |
| filelock | 3.9.0 | Flask | 2.2.5 | flatbuffers | 23.5.26 |
| fonttools | 4.25.0 | frozenlist | 1.4.1 | fsspec | 2023.6.0 |
| future | 0.18.3 | gast | 0.4.0 | gitdb | 4.0.11 |
| GitPython | 3.1.27 | google-api-core | 2.15.0 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.4.1 | google-cloud-storage | 2.11.0 |
| google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.7.0 |
| googleapis-common-protos | 1.62.0 | 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 | 0.38 |
| horovod | 0.28.1 | htmlmin | 0.1.12 | httplib2 | 0.20.2 |
| huggingface-hub | 0.19.4 | idna | 3.4 | ImageHash | 4.3.1 |
| imbalanced-learn | 0.11.0 | importlib-metadata | 4.11.3 | importlib-resources | 6.1.1 |
| 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 |
| 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 | 0.0.348 |
| langchain-core | 0.0.13 | langcodes | 3.3.0 | langsmith | 0.0.79 |
| 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 | 3.20.2 | matplotlib | 3.7.0 | matplotlib-inline | 0.1.6 |
| mccabe | 0.7.0 | mistune | 0.8.4 | ml-dtypes | 0.2.0 |
| mlflow-skinny | 2.9.2 | 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 | 23,2 | pandas | 1.5.3 |
| pandocfilters | 1.5.0 | paramiko | 2.9.2 | parso | 0.8.3 |
| pathspec | 0.10.3 | patsy | 0.5.3 | petastorm | 0.12.1 |
| pexpect | 4.8.0 | phik | 0.12.4 | 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 | 2.0.4 |
| 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 |
| pyarrow-hotfix | 0,5 | 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 | pynvml | 11.5.0 |
| 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 | 0.4.1 | 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 | 0.44.0 | 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 | 3.7.2 | 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 | 2.14.1 | tensorboard-data-server | 0.7.2 |
| tensorboard-plugin-profile | 2.14.0 | tensorflow-cpu | 2.14.1 | tensorflow-estimator | 2.14.0 |
| tensorflow-io-gcs-filesystem | 0.35.0 | termcolor | 2.4.0 | terminado | 0.17.1 |
| thinc | 8.2.2 | threadpoolctl | 2.2.0 | tiktoken | 0.5.2 |
| tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 | générateurs de jetons | 0.15.0 |
| 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 | 4.36.1 | 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 | 0.3.4 | 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 | 1.9.3 |
| wrapt | 1.14.1 | xgboost | 1.7.6 | xxhash | 3.4.1 |
| yapf | 0.33.0 | yarl | 1.9.4 | 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 | 0.25.0 | aiohttp | 3.9.1 |
| 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 | 12.19.0 | azure-storage-file-datalake | 12.14.0 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.11 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.2 | catalogue | 2.0.10 | category-encoders | 2.6.3 |
| 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 | 3.28.1 | cmdstanpy | 1.2.0 |
| comm | 0.1.2 | confection | 0.1.4 | 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 | 0.2.0 |
| databricks-sdk | 0.1.6 | dataclasses-json | 0.6.3 | jeux de données | 2.15.0 |
| dbl-tempo | 0.1.26 | dbus-python | 1.2.18 | debugpy | 1.6.7 |
| decorator | 5.1.1 | deepspeed | 0.12.4 | 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 | 2.19.1 | fasttext | 0.9.2 | filelock | 3.9.0 |
| flash-attn | 2.3.6 | Flask | 2.2.5 | flatbuffers | 23.5.26 |
| fonttools | 4.25.0 | frozenlist | 1.4.1 | fsspec | 2023.6.0 |
| future | 0.18.3 | gast | 0.4.0 | gitdb | 4.0.11 |
| GitPython | 3.1.27 | google-api-core | 2.15.0 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.4.1 | google-cloud-storage | 2.11.0 |
| google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.7.0 |
| googleapis-common-protos | 1.62.0 | 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 | 0.38 |
| horovod | 0.28.1 | htmlmin | 0.1.12 | httplib2 | 0.20.2 |
| huggingface-hub | 0.19.4 | idna | 3.4 | ImageHash | 4.3.1 |
| imbalanced-learn | 0.11.0 | importlib-metadata | 4.11.3 | importlib-resources | 6.1.1 |
| 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 |
| 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 | 0.0.348 |
| langchain-core | 0.0.13 | langcodes | 3.3.0 | langsmith | 0.0.79 |
| 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 | 17.0.6 | llvmlite | 0.39.1 |
| lxml | 4.9.1 | Mako | 1.2.0 | Markdown | 3.4.1 |
| MarkupSafe | 2.1.1 | marshmallow | 3.20.2 | matplotlib | 3.7.0 |
| matplotlib-inline | 0.1.6 | mccabe | 0.7.0 | mistune | 0.8.4 |
| ml-dtypes | 0.2.0 | mlflow-skinny | 2.9.2 | 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 | 23,2 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
| parso | 0.8.3 | pathspec | 0.10.3 | patsy | 0.5.3 |
| petastorm | 0.12.1 | pexpect | 4.8.0 | phik | 0.12.4 |
| 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 | 2.0.4 | 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 |
| pyarrow-hotfix | 0,5 | 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 | pynvml | 11.5.0 |
| 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 | 0.4.1 | 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 | 0.44.0 | 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 | 3.7.2 | 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 | 2.14.1 | tensorboard-data-server | 0.7.2 |
| tensorboard-plugin-profile | 2.14.0 | tensorflow | 2.14.1 | tensorflow-estimator | 2.14.0 |
| tensorflow-io-gcs-filesystem | 0.35.0 | termcolor | 2.4.0 | terminado | 0.17.1 |
| thinc | 8.2.2 | threadpoolctl | 2.2.0 | tiktoken | 0.5.2 |
| tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 | générateurs de jetons | 0.15.0 |
| 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 | 4.36.1 | 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 | 0.3.4 |
| 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 | 1.9.3 | wrapt | 1.14.1 | xgboost | 1.7.6 |
| xxhash | 3.4.1 | yapf | 0.33.0 | yarl | 1.9.4 |
| ydata-profiling | 4.2.0 | zipp | 3.11.0 |
Bibliothèques R
Les bibliothèques R sont identiques aux bibliothèques R dans Databricks Runtime 14.3 LTS.
Bibliothèques Java et Scala (cluster Scala 2.12)
Outre les bibliothèques Java et Scala dans Databricks Runtime 14.3 LTS, Databricks Runtime 14.3 LTS 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 | 2.9.2 |
| 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 | 2.9.2 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |