databricks Runtime 16.0 for 机器学习
用于 机器学习 的 Databricks Runtime 16.0 提供了基于 Databricks Runtime 16.0 的机器学习和数据科学的现成环境。 Databricks Runtime ML 包含许多常用的机器学习库，包括 TensorFlow、PyTorch 和 XGBoost。 Databricks Runtime ML 包括 AutoML 工具，可用于自动训练机器学习管道。 Databricks Runtime ML 还支持使用 TorchDistributor、DeepSpeed 和 Ray 进行分布式深度学习训练。
提示
若要查看已终止支持 (EoS) 的 Databricks Runtime 版本的发行说明，请参阅终止支持 Databricks Runtime 发行说明。 EoS Databricks Runtime 版本已停用，可能不会更新。
新增功能和改进
Databricks Runtime 16.0 ML 基于 Databricks Runtime 16.0 构建。 有关 Databricks Runtime 16.0 中的新增功能（包括 Apache Spark MLlib 和 SparkR）的信息，请参阅 Databricks Runtime 16.0 发行说明。
新 Python 包
以下 Python 包已添加到 Databricks Runtime ML：
- composer 0.24.1
- optuna 3.6.1
用于预测的 AutoML 示例权重
AutoML 现在支持用于预测的样本权重，使你可以调整每个时间序列的重要性，以训练多时间序列预测模型。 有关详细信息，请参阅 AutoML Python API 的预测参数。
将 Unity Catalog 中的视图用作特征表
现在可以将 Unity Catalog 中的视图用作特征表。 请参阅使用 Unity Catalog 中的现有视图作为特征表。
其他更改
Horovod、HorovodRunner、Petastorm、spark-tensorflow-distributor 已删除
先前的 Databricks Runtime ML 版本中包含的以下包未包含在 Databricks Runtime 16.0 ML 中：
- Horovod
- HorovodRunner
- Petastorm
spark-tensorflow-distributor
Databricks 建议执行以下替换：
- 对于分布式深度学习，Databricks 建议使用 TorchDistributor 通过 PyTorch 进行分布式训练，或使用
tf.distribute.StrategyAPI 通过 TensorFlow 进行分布式训练。 - 若要从云存储加载大型数据集，Databricks 建议使用 Mosaic 流式处理。
- 对于 TensorFlow 或 Keras 模型的分布式训练，Databricks 建议使用 Ray。 请参阅 Databricks 的 Ray 和 Ray 文档。
系统环境
Databricks Runtime 16.0 ML 中的系统环境在以下方面不同于 Databricks Runtime 16.0：
- 对于 GPU 群集，Databricks Runtime ML 包含以下 NVIDIA GPU 库：
- CUDA 12.6
- cublas 12.6.0.22-1
- cusolver 11.6.4.38-1
- cupti 12.6.37-1
- cusparse 12.5.2.23-1
- cuDNN 9.3.0.75-1
- NCCL 2.22.3
- TensorRT 10.2.0.19-1
Libraries
以下部分列出了 Databricks Runtime 16.0 ML 中包含的库，这些库不同于 Databricks Runtime 16.0 中包含的库。
本节内容：
顶层库
Databricks Runtime 16.0 ML 包含以下顶层库：
- datasets
- GraphFrames
- MLflow
- PyTorch
- spark-tensorflow-connector
- Scikit-learn
- 流式处理
- TensorFlow
- TensorBoard
- 转换器
Python 库
Databricks Runtime 16.0 ML 使用 virtualenv 进行 Python 包管理，包含许多常用的 ML 包。
除了以下部分中指定的包，Databricks Runtime 16.0 ML 还包含以下包：
- hyperopt 0.2.7+db5
- automl 1.29.0
若要在本地 Python 虚拟环境中重现 Databricks Runtime ML Python 环境，请下载 requirements-16.0.txt 文件并运行 pip install -r requirements-16.0.txt。 此命令安装 Databricks Runtime ML 使用的所有开源库，但不安装 Databricks 开发的库，例如 databricks-automl、databricks-feature-engineering，或 hyperopt 的 Databricks 分支。
CPU 群集上的 Python 库
| 库 | 版本 | 库 | 版本 | 库 | 版本 |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.33.0 | aiohttp | 3.9.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | alembic | 1.13.3 |
| annotated-types | 0.7.0 | anyio | 4.2.0 | argcomplete | 3.5.0 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | 箭头 | 1.2.3 |
| astor | 0.8.1 | asttokens | 2.0.5 | astunparse | 1.6.3 |
| async-lru | 2.0.4 | attrs | 23.1.0 | audioread | 3.0.1 |
| autocommand | 2.2.2 | azure-core | 1.31.0 | azure-cosmos | 4.3.1 |
| azure-identity | 1.18.0 | azure-storage-blob | 12.23.1 | azure-storage-file-datalake | 12.17.0 |
| Babel | 2.11.0 | 回退 | 2.2.1 | backports.tarfile | 1.2.0 |
| bcrypt | 3.2.0 | beautifulsoup4 | 4.12.3 | black | 24.4.2 |
| bleach | 4.1.0 | blinker | 1.7.0 | blis | 0.7.11 |
| boto3 | 1.34.69 | botocore | 1.34.69 | Brotli | 1.0.9 |
| cachetools | 5.3.3 | catalogue | 2.0.10 | category-encoders | 2.6.3 |
| certifi | 2024.6.2 | cffi | 1.16.0 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | circuitbreaker | 2.0.0 | 单击 | 8.1.7 |
| cloudpathlib | 0.19.0 | cloudpickle | 2.2.1 | cmdstanpy | 1.2.4 |
| 五彩缤纷 | 0.5.6 | colorlog | 6.8.2 | comm | 0.2.1 |
| composer | 0.24.1 | confection | 0.1.5 | configparser | 5.2.0 |
| contourpy | 1.2.0 | coolname | 2.2.0 | 密码系统 | 42.0.5 |
| cycler | 0.11.0 | cymem | 2.0.8 | Cython | 3.0.11 |
| dacite | 1.8.1 | databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.7.0 |
| databricks-sdk | 0.30.0 | datasets | 2.20.0 | dbl-tempo | 0.1.26 |
| dbu-python | 1.3.2 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.14.4 | defusedxml | 0.7.1 | 已放弃 | 1.2.14 |
| dill | 0.3.8 | distlib | 0.3.8 | dm-tree | 0.1.8 |
| docstring-to-markdown | 0.11 | entrypoints | 0.4 | 评估 | 0.4.2 |
| 正在执行 | 0.8.3 | facets-overview | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastjsonschema | 2.20.0 | fasttext-wheel | 0.9.2 | filelock | 3.13.1 |
| Flask | 2.2.5 | flatbuffers | 24.3.25 | fonttools | 4.51.0 |
| fqdn | 1.5.1 | frozenlist | 1.4.0 | fsspec | 2023.5.0 |
| future | 0.18.3 | gast | 0.4.0 | gitdb | 4.0.11 |
| GitPython | 3.1.37 | google-api-core | 2.20.0 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.4.1 | google-cloud-storage | 2.10.0 |
| google-crc32c | 1.6.0 | google-pasta | 0.2.0 | google-resumable-media | 2.7.2 |
| googleapis-common-protos | 1.65.0 | gql | 3.5.0 | graphql-core | 3.2.4 |
| greenlet | 3.0.1 | grpcio | 1.60.0 | grpcio-status | 1.60.0 |
| gunicorn | 20.1.0 | gviz-api | 1.10.0 | gymnasium | 0.28.1 |
| h11 | 0.14.0 | h5py | 3.11.0 | hjson | 3.1.0 |
| holidays | 0.54 | htmlmin | 0.1.12 | httpcore | 1.0.5 |
| httplib2 | 0.20.4 | httpx | 0.27.2 | huggingface-hub | 0.24.5 |
| idna | 3.7 | ImageHash | 4.3.1 | imageio | 2.33.1 |
| imbalanced-learn | 0.12.3 | importlib-metadata | 6.0.0 | importlib_resources | 6.4.5 |
| inflect | 7.3.1 | ipyflow-core | 0.0.201 | ipykernel | 6.28.0 |
| ipython | 8.25.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| isodate | 0.6.1 | isoduration | 20.11.0 | itsdangerous | 2.2.0 |
| jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 | jaraco.text | 3.12.1 |
| jax-jumpy | 1.0.0 | jedi | 0.19.1 | Jinja2 | 3.1.4 |
| jiter | 0.5.0 | jmespath | 1.0.1 | joblib | 1.4.2 |
| joblibspark | 0.5.1 | json5 | 0.9.6 | jsonpatch | 1.33 |
| jsonpointer | 3.0.0 | jsonschema | 4.19.2 | jsonschema-specifications | 2023.7.1 |
| jupyter-events | 0.10.0 | jupyter-lsp | 2.2.0 | jupyter_client | 8.6.0 |
| jupyter_core | 5.7.2 | jupyter_server | 2.14.1 | jupyter_server_terminals | 0.4.4 |
| jupyterlab | 4.0.11 | jupyterlab-pygments | 0.1.2 | jupyterlab_server | 2.25.1 |
| keras | 3.5.0 | kiwisolver | 1.4.4 | langchain | 0.2.12 |
| langchain-core | 0.2.41 | langchain-text-splitters | 0.2.4 | langcodes | 3.4.1 |
| langsmith | 0.1.129 | language_data | 1.2.0 | launchpadlib | 1.11.0 |
| lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 | lazy_loader | 0.4 |
| libclang | 15.0.6.1 | librosa | 0.10.2 | lightgbm | 4.5.0 |
| lightning-utilities | 0.11.7 | linkify-it-py | 2.0.0 | llvmlite | 0.42.0 |
| lz4 | 4.3.2 | Mako | 1.2.0 | marisa-trie | 1.2.0 |
| Markdown | 3.4.1 | markdown-it-py | 2.2.0 | MarkupSafe | 2.1.3 |
| matplotlib | 3.8.4 | matplotlib-inline | 0.1.6 | mccabe | 0.7.0 |
| mdit-py-plugins | 0.3.0 | mdurl | 0.1.0 | memray | 1.14.0 |
| mistune | 2.0.4 | ml-dtypes | 0.4.1 | mlflow-skinny | 2.15.1 |
| more-itertools | 10.3.0 | mosaicml-cli | 0.6.41 | mosaicml-streaming | 0.8.0 |
| mpmath | 1.3.0 | msal | 1.31.0 | msal-extensions | 1.2.0 |
| msgpack | 1.1.0 | multidict | 6.0.4 | multimethod | 1.12 |
| multiprocess | 0.70.16 | murmurhash | 1.0.10 | mypy | 1.10.0 |
| mypy-extensions | 1.0.0 | namex | 0.0.8 | nbclient | 0.8.0 |
| nbconvert | 7.10.0 | nbformat | 5.9.2 | nest-asyncio | 1.6.0 |
| networkx | 3.2.1 | ninja | 1.11.1.1 | nltk | 3.8.1 |
| nodeenv | 1.9.1 | 笔记本 | 7.0.8 | notebook_shim | 0.2.3 |
| numba | 0.59.1 | numpy | 1.26.4 | nvidia-ml-py | 12.560.30 |
| oauthlib | 3.2.0 | oci | 2.135.0 | openai | 1.40.2 |
| opencensus | 0.11.4 | opencensus-context | 0.1.3 | opentelemetry-api | 1.27.0 |
| opentelemetry-sdk | 1.27.0 | opentelemetry-semantic-conventions | 0.48b0 | opt_einsum | 3.4.0 |
| optree | 0.12.1 | optuna | 3.6.1 | optuna-integration | 3.6.0 |
| orjson | 3.10.7 | overrides | 7.4.0 | 打包 | 24.1 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 3.4.0 |
| parso | 0.8.3 | pathspec | 0.10.3 | patsy | 0.5.6 |
| pexpect | 4.8.0 | phik | 0.12.4 | pillow | 10.3.0 |
| pip | 24.2 | platformdirs | 3.10.0 | plotly | 5.22.0 |
| pluggy | 1.0.0 | pmdarima | 2.0.4 | pooch | 1.8.2 |
| portalocker | 2.10.1 | preshed | 3.0.9 | prometheus-client | 0.14.1 |
| prompt-toolkit | 3.0.43 | prophet | 1.1.5 | proto-plus | 1.24.0 |
| protobuf | 4.24.1 | psutil | 5.9.0 | psycopg2 | 2.9.3 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | py-cpuinfo | 9.0.0 |
| py-spy | 0.3.14 | pyarrow | 15.0.2 | pyarrow-hotfix | 0.6 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pybind11 | 2.13.6 |
| pyccolo | 0.0.65 | pycparser | 2.21 | pydantic | 2.8.2 |
| pydantic_core | 2.20.1 | pyflakes | 3.2.0 | Pygments | 2.15.1 |
| PyGObject | 3.48.2 | PyJWT | 2.7.0 | PyNaCl | 1.5.0 |
| pyodbc | 5.0.1 | pyOpenSSL | 24.0.0 | pyparsing | 3.0.9 |
| pyright | 1.1.294 | pytesseract | 0.3.10 | python-dateutil | 2.9.0.post0 |
| python-editor | 1.0.4 | python-json-logger | 2.0.7 | python-lsp-jsonrpc | 1.1.2 |
| python-lsp-server | 1.10.0 | python-snappy | 0.6.1 | pytoolconfig | 1.2.6 |
| pytorch-ranger | 0.1.1 | pytz | 2024.1 | PyWavelets | 1.5.0 |
| PyYAML | 6.0.1 | pyzmq | 25.1.2 | questionary | 1.10.0 |
| ray | 2.35.0 | referencing | 0.30.2 | regex | 2023.10.3 |
| 请求 | 2.32.2 | requests-oauthlib | 1.3.1 | rfc3339-validator | 0.1.4 |
| rfc3986-validator | 0.1.1 | rich | 13.3.5 | rope | 1.12.0 |
| rpds-py | 0.10.6 | rsa | 4.9 | ruamel.yaml | 0.18.6 |
| ruamel.yaml.clib | 0.2.8 | s3transfer | 0.10.2 | safetensors | 0.4.4 |
| scikit-image | 0.23.2 | scikit-learn | 1.4.2 | scipy | 1.13.1 |
| seaborn | 0.13.2 | Send2Trash | 1.8.2 | sentence-transformers | 3.0.1 |
| sentencepiece | 0.2.0 | setuptools | 74.0.0 | shap | 0.46.0 |
| shellingham | 1.5.4 | simplejson | 3.17.6 | 6 | 1.16.0 |
| slicer | 0.0.8 | smart-open | 5.2.1 | smmap | 5.0.0 |
| sniffio | 1.3.0 | soundfile | 0.12.1 | soupsieve | 2.5 |
| soxr | 0.5.0.post1 | spacy | 3.7.5 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.30 | sqlparse | 0.4.2 |
| srsly | 2.4.8 | ssh-import-id | 5.11 | stack-data | 0.2.0 |
| stanio | 0.5.1 | statsmodels | 0.14.2 | sympy | 1.12 |
| tabulate | 0.9.0 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.2.2 |
| tensorboard | 2.17.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.17.0 |
| tensorboardX | 2.6.2.2 | tensorflow | 2.17.0 | tensorflow-estimator | 2.15.0 |
| termcolor | 2.4.0 | terminado | 0.17.1 | textual | 0.81.0 |
| tf_keras | 2.17.0 | thinc | 8.2.5 | threadpoolctl | 2.2.0 |
| tifffile | 2023.4.12 | tiktoken | 0.7.0 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | tokenizers | 0.19.1 | tomli | 2.0.1 |
| torch | 2.4.0+cpu | torch-optimizer | 0.3.0 | torcheval | 0.0.7 |
| torchmetrics | 1.4.0.post0 | torchvision | 0.19.0+cpu | tornado | 6.4.1 |
| tqdm | 4.66.4 | traitlets | 5.14.3 | transformers | 4.44.0 |
| typeguard | 4.3.0 | typer | 0.12.5 | types-protobuf | 3.20.3 |
| types-psutil | 5.9.0 | types-pytz | 2023.3.1.1 | types-PyYAML | 6.0.0 |
| types-requests | 2.31.0.0 | types-setuptools | 68.0.0.0 | types-six | 1.16.0 |
| types-urllib3 | 1.26.25.14 | typing_extensions | 4.11.0 | uc-micro-py | 1.0.1 |
| ujson | 5.10.0 | unattended-upgrades | 0.1 | URI 模板 | 1.3.0 |
| urllib3 | 1.26.16 | 验证程序 | 0.34.0 | virtualenv | 20.26.2 |
| visions | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.3 |
| wcwidth | 0.2.5 | weasel | 0.4.1 | webcolors | 24.8.0 |
| webencodings | 0.5.1 | websocket-client | 1.8.0 | websockets | 11.0.3 |
| Werkzeug | 3.0.3 | whatthepatch | 1.0.2 | wheel | 0.43.0 |
| wordcloud | 1.9.3 | wrapt | 1.14.1 | xgboost | 2.0.3 |
| xgboost-ray | 0.1.19 | xxhash | 3.4.1 | yapf | 0.33.0 |
| yarl | 1.9.3 | ydata-profiling | 4.9.0 | zipp | 3.17.0 |
| zstd | 1.5.5.1 |
GPU 群集上的 Python 库
| 库 | 版本 | 库 | 版本 | 库 | 版本 |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.33.0 | aiohttp | 3.9.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | annotated-types | 0.7.0 |
| anyio | 4.2.0 | argcomplete | 3.5.0 | argon2-cffi | 21.3.0 |
| argon2-cffi-bindings | 21.2.0 | 箭头 | 1.2.3 | astor | 0.8.1 |
| asttokens | 2.0.5 | astunparse | 1.6.3 | async-lru | 2.0.4 |
| attrs | 23.1.0 | audioread | 3.0.1 | autocommand | 2.2.2 |
| azure-core | 1.31.0 | azure-cosmos | 4.3.1 | azure-identity | 1.18.0 |
| azure-storage-blob | 12.23.1 | azure-storage-file-datalake | 12.17.0 | Babel | 2.11.0 |
| 回退 | 2.2.1 | backports.tarfile | 1.2.0 | bcrypt | 3.2.0 |
| beautifulsoup4 | 4.12.3 | black | 24.4.2 | bleach | 4.1.0 |
| blinker | 1.7.0 | blis | 0.7.11 | boto3 | 1.34.69 |
| botocore | 1.34.69 | Brotli | 1.0.9 | cachetools | 5.3.3 |
| catalogue | 2.0.10 | category-encoders | 2.6.3 | certifi | 2024.6.2 |
| cffi | 1.16.0 | chardet | 4.0.0 | charset-normalizer | 2.0.4 |
| circuitbreaker | 2.0.0 | 单击 | 8.1.7 | cloudpathlib | 0.19.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.4 | 五彩缤纷 | 0.5.6 |
| colorlog | 6.8.2 | comm | 0.2.1 | composer | 0.24.1 |
| confection | 0.1.5 | configparser | 5.2.0 | contourpy | 1.2.0 |
| coolname | 2.2.0 | 密码系统 | 42.0.5 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 3.0.11 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.7.0 | databricks-sdk | 0.30.0 |
| datasets | 2.20.0 | dbl-tempo | 0.1.26 | dbu-python | 1.3.2 |
| debugpy | 1.6.7 | decorator | 5.1.1 | deepspeed | 0.14.4 |
| defusedxml | 0.7.1 | 已放弃 | 1.2.14 | dill | 0.3.8 |
| distlib | 0.3.8 | dm-tree | 0.1.8 | docstring-to-markdown | 0.11 |
| einops | 0.8.0 | entrypoints | 0.4 | 评估 | 0.4.2 |
| 正在执行 | 0.8.3 | facets-overview | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastjsonschema | 2.20.0 | fasttext-wheel | 0.9.2 | filelock | 3.13.1 |
| flash_attn | 2.5.6 | Flask | 2.2.5 | flatbuffers | 24.3.25 |
| fonttools | 4.51.0 | fqdn | 1.5.1 | frozenlist | 1.4.0 |
| fsspec | 2023.5.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.37 | google-api-core | 2.20.0 |
| google-auth | 2.21.0 | google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.4.1 |
| google-cloud-storage | 2.10.0 | google-crc32c | 1.6.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.7.2 | googleapis-common-protos | 1.65.0 | gql | 3.5.0 |
| graphql-core | 3.2.4 | greenlet | 3.0.1 | grpcio | 1.60.0 |
| grpcio-status | 1.60.0 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
| gymnasium | 0.28.1 | h11 | 0.14.0 | h5py | 3.11.0 |
| hjson | 3.1.0 | holidays | 0.54 | htmlmin | 0.1.12 |
| httpcore | 1.0.5 | httplib2 | 0.20.4 | httpx | 0.27.2 |
| huggingface-hub | 0.24.5 | idna | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.33.1 | imbalanced-learn | 0.12.3 | importlib-metadata | 6.0.0 |
| importlib_resources | 6.4.5 | inflect | 7.3.1 | ipyflow-core | 0.0.201 |
| ipykernel | 6.28.0 | ipython | 8.25.0 | ipython-genutils | 0.2.0 |
| ipywidgets | 7.7.2 | isodate | 0.6.1 | isoduration | 20.11.0 |
| itsdangerous | 2.2.0 | jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 |
| jaraco.text | 3.12.1 | jax-jumpy | 1.0.0 | jedi | 0.19.1 |
| Jinja2 | 3.1.4 | jiter | 0.5.0 | jmespath | 1.0.1 |
| joblib | 1.4.2 | joblibspark | 0.5.1 | json5 | 0.9.6 |
| jsonpatch | 1.33 | jsonpointer | 3.0.0 | jsonschema | 4.19.2 |
| jsonschema-specifications | 2023.7.1 | jupyter-events | 0.10.0 | jupyter-lsp | 2.2.0 |
| jupyter_client | 8.6.0 | jupyter_core | 5.7.2 | jupyter_server | 2.14.1 |
| jupyter_server_terminals | 0.4.4 | jupyterlab | 4.0.11 | jupyterlab-pygments | 0.1.2 |
| jupyterlab_server | 2.25.1 | keras | 3.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.2.12 | langchain-core | 0.2.41 | langchain-text-splitters | 0.2.4 |
| langcodes | 3.4.1 | langsmith | 0.1.129 | language_data | 1.2.0 |
| launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 |
| lazy_loader | 0.4 | libclang | 15.0.6.1 | librosa | 0.10.2 |
| lightgbm | 4.5.0 | lightning-utilities | 0.11.7 | linkify-it-py | 2.0.0 |
| llvmlite | 0.42.0 | lz4 | 4.3.2 | Mako | 1.2.0 |
| marisa-trie | 1.2.0 | Markdown | 3.4.1 | markdown-it-py | 2.2.0 |
| MarkupSafe | 2.1.3 | matplotlib | 3.8.4 | matplotlib-inline | 0.1.6 |
| mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 | mdurl | 0.1.0 |
| memray | 1.14.0 | mistune | 2.0.4 | ml-dtypes | 0.4.1 |
| mlflow-skinny | 2.15.1 | more-itertools | 10.3.0 | mosaicml-cli | 0.6.41 |
| mosaicml-streaming | 0.8.0 | mpmath | 1.3.0 | msal | 1.31.0 |
| msal-extensions | 1.2.0 | msgpack | 1.1.0 | multidict | 6.0.4 |
| multimethod | 1.12 | multiprocess | 0.70.16 | murmurhash | 1.0.10 |
| mypy | 1.10.0 | mypy-extensions | 1.0.0 | namex | 0.0.8 |
| nbclient | 0.8.0 | nbconvert | 7.10.0 | nbformat | 5.9.2 |
| nest-asyncio | 1.6.0 | networkx | 3.2.1 | ninja | 1.11.1.1 |
| nltk | 3.8.1 | nodeenv | 1.9.1 | 笔记本 | 7.0.8 |
| notebook_shim | 0.2.3 | numba | 0.59.1 | numpy | 1.26.4 |
| nvidia-cublas-cu12 | 12.4.2.65 | nvidia-cuda-cupti-cu12 | 12.4.99 | nvidia-cuda-nvrtc-cu12 | 12.4.99 |
| nvidia-cuda-runtime-cu12 | 12.4.99 | nvidia-cudnn-cu12 | 9.1.0.70 | nvidia-cufft-cu12 | 11.2.0.44 |
| nvidia-curand-cu12 | 10.3.5.119 | nvidia-cusolver-cu12 | 11.6.0.99 | nvidia-cusparse-cu12 | 12.3.0.142 |
| nvidia-ml-py | 12.560.30 | nvidia-nccl-cu12 | 2.20.5 | nvidia-nvjitlink-cu12 | 12.4.99 |
| nvidia-nvtx-cu12 | 12.4.99 | oauthlib | 3.2.0 | oci | 2.135.0 |
| openai | 1.40.2 | opencensus | 0.11.4 | opencensus-context | 0.1.3 |
| opentelemetry-api | 1.27.0 | opentelemetry-sdk | 1.27.0 | opentelemetry-semantic-conventions | 0.48b0 |
| opt_einsum | 3.4.0 | optree | 0.12.1 | optuna | 3.6.1 |
| optuna-integration | 3.6.0 | orjson | 3.10.7 | overrides | 7.4.0 |
| 打包 | 24.1 | pandas | 1.5.3 | pandocfilters | 1.5.0 |
| paramiko | 3.4.0 | parso | 0.8.3 | pathspec | 0.10.3 |
| patsy | 0.5.6 | pexpect | 4.8.0 | phik | 0.12.4 |
| pillow | 10.3.0 | pip | 24.2 | platformdirs | 3.10.0 |
| plotly | 5.22.0 | pluggy | 1.0.0 | pmdarima | 2.0.4 |
| pooch | 1.8.2 | portalocker | 2.10.1 | preshed | 3.0.9 |
| prometheus-client | 0.14.1 | prompt-toolkit | 3.0.43 | prophet | 1.1.5 |
| proto-plus | 1.24.0 | protobuf | 4.24.1 | psutil | 5.9.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pure-eval | 0.2.2 |
| py-cpuinfo | 9.0.0 | py-spy | 0.3.14 | pyarrow | 15.0.2 |
| pyarrow-hotfix | 0.6 | pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 |
| pybind11 | 2.13.6 | pyccolo | 0.0.65 | pycparser | 2.21 |
| pydantic | 2.8.2 | pydantic_core | 2.20.1 | pyflakes | 3.2.0 |
| Pygments | 2.15.1 | PyGObject | 3.48.2 | PyJWT | 2.7.0 |
| PyNaCl | 1.5.0 | pyodbc | 5.0.1 | pyOpenSSL | 24.0.0 |
| pyparsing | 3.0.9 | pyright | 1.1.294 | pytesseract | 0.3.10 |
| python-dateutil | 2.9.0.post0 | python-editor | 1.0.4 | python-json-logger | 2.0.7 |
| python-lsp-jsonrpc | 1.1.2 | python-lsp-server | 1.10.0 | python-snappy | 0.6.1 |
| pytoolconfig | 1.2.6 | pytorch-ranger | 0.1.1 | pytz | 2024.1 |
| PyWavelets | 1.5.0 | PyYAML | 6.0.1 | pyzmq | 25.1.2 |
| questionary | 1.10.0 | ray | 2.35.0 | referencing | 0.30.2 |
| regex | 2023.10.3 | 请求 | 2.32.2 | requests-oauthlib | 1.3.1 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | rich | 13.3.5 |
| rope | 1.12.0 | rpds-py | 0.10.6 | rsa | 4.9 |
| ruamel.yaml | 0.18.6 | ruamel.yaml.clib | 0.2.8 | s3transfer | 0.10.2 |
| safetensors | 0.4.4 | scikit-image | 0.23.2 | scikit-learn | 1.4.2 |
| scipy | 1.13.1 | seaborn | 0.13.2 | Send2Trash | 1.8.2 |
| sentence-transformers | 3.0.1 | sentencepiece | 0.2.0 | setuptools | 74.0.0 |
| shap | 0.46.0 | shellingham | 1.5.4 | simplejson | 3.17.6 |
| 6 | 1.16.0 | slicer | 0.0.8 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.3.0 | soundfile | 0.12.1 |
| soupsieve | 2.5 | soxr | 0.5.0.post1 | spacy | 3.7.5 |
| spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.30 |
| sqlparse | 0.4.2 | srsly | 2.4.8 | ssh-import-id | 5.11 |
| stack-data | 0.2.0 | stanio | 0.5.1 | statsmodels | 0.14.2 |
| sympy | 1.12 | tabulate | 0.9.0 | tangled-up-in-unicode | 0.2.0 |
| tenacity | 8.2.2 | tensorboard | 2.17.0 | tensorboard-data-server | 0.7.2 |
| tensorboard-plugin-profile | 2.17.0 | tensorboardX | 2.6.2.2 | tensorflow | 2.17.0 |
| tensorflow-estimator | 2.15.0 | termcolor | 2.4.0 | terminado | 0.17.1 |
| textual | 0.81.0 | tf_keras | 2.17.0 | thinc | 8.2.5 |
| threadpoolctl | 2.2.0 | tifffile | 2023.4.12 | tiktoken | 0.7.0 |
| tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 | tokenizers | 0.19.1 |
| tomli | 2.0.1 | torch | 2.4.0+cu124 | torch-optimizer | 0.3.0 |
| torcheval | 0.0.7 | torchmetrics | 1.4.0.post0 | torchvision | 0.19.0+cu124 |
| tornado | 6.4.1 | tqdm | 4.66.4 | traitlets | 5.14.3 |
| transformers | 4.44.0 | triton | 3.0.0 | typeguard | 4.3.0 |
| typer | 0.12.5 | types-protobuf | 3.20.3 | types-psutil | 5.9.0 |
| types-pytz | 2023.3.1.1 | types-PyYAML | 6.0.0 | types-requests | 2.31.0.0 |
| types-setuptools | 68.0.0.0 | types-six | 1.16.0 | types-urllib3 | 1.26.25.14 |
| typing_extensions | 4.11.0 | uc-micro-py | 1.0.1 | ujson | 5.10.0 |
| unattended-upgrades | 0.1 | URI 模板 | 1.3.0 | urllib3 | 1.26.16 |
| 验证程序 | 0.34.0 | virtualenv | 20.26.2 | visions | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| weasel | 0.4.1 | webcolors | 24.8.0 | webencodings | 0.5.1 |
| websocket-client | 1.8.0 | websockets | 11.0.3 | Werkzeug | 3.0.3 |
| whatthepatch | 1.0.2 | wheel | 0.43.0 | wordcloud | 1.9.3 |
| wrapt | 1.14.1 | xgboost | 2.0.3 | xgboost-ray | 0.1.19 |
| xxhash | 3.4.1 | yapf | 0.33.0 | yarl | 1.9.3 |
| ydata-profiling | 4.9.0 | zipp | 3.17.0 | zstd | 1.5.5.1 |
R 库
R 库与 Databricks Runtime 16.0 中的 R 库完全相同。
Java 库和 Scala 库（Scala 2.12 群集）
除了 Databricks Runtime 16.0 中的 Java 库和 Scala 库之外，Databricks Runtime 16.0 ML 还包含以下 JAR：
CPU 群集
| 组 ID | 项目 ID | 版本 |
|---|---|---|
| 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 | 0.8.4-db1-spark3.5 |
| org.mlflow | mlflow-client | 2.15.1 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
GPU 群集
| 组 ID | 项目 ID | 版本 |
|---|---|---|
| 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 | 0.8.4-db1-spark3.5 |
| org.mlflow | mlflow-client | 2.15.1 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |