Databricks Runtime 17.3 LTS for 机器学习 是基于 Databricks Runtime 17.3 LTS 的，为机器学习和数据科学提供了一个现成可用的环境。 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。
新功能和改进
Databricks Runtime 17.3 LTS ML 基于 Databricks Runtime 17.3 LTS 构建。 有关 Databricks Runtime 17.3 LTS（包括 Apache Spark MLlib 和 SparkR）中的新增功能的信息，请参阅 Databricks Runtime 17.3 LTS 发行说明。
系统环境
Databricks Runtime 17.3 LTS ML 中的系统环境不同于 Databricks Runtime 17.3 LTS，如下所示。
- 对于 GPU 群集，Databricks Runtime ML 包含以下 NVIDIA GPU 库：
- CUDA 12.6
- cublas 12.6.4.1-1
- cusolver 11.7.1.2-1
- cupti 12.6.80-1
- cusparse 12.5.4.2-1
- cuDNN 9.5.1.17-1
- NCCL 2.26.2
- TensorRT 10.2.0.19-1
图书馆
以下部分列出了 Databricks Runtime 17.3 LTS ML 中包含的库，这些库不同于 Databricks Runtime 17.3 LTS 中包含的库。
本节内容：
顶级图书馆
Databricks Runtime 17.3 LTS ML 包含以下顶级 库：
- 数据集
- GraphFrames
- MLflow
- PyTorch
- spark-tensorflow-connector
- Scikit-learn
- 流媒体
- TensorFlow
- TensorBoard
- 转换器
Python库
Databricks Runtime 17.3 LTS ML 使用 virtualenv 进行Python包管理，并包括许多常用的 ML 包。
若要在本地Python虚拟环境中重现 Databricks Runtime ML Python 环境，请下载适用于 CPU 群集的 requirements-cpu-17.3lts.txt，或者下载适用于 GPU 群集的 requirements-gpu-17.3lts.txt。 然后运行 pip install -r requirements-<cpu|gpu>-17.3lts.txt。 此命令安装 Databricks Runtime ML 使用的所有开放源代码库，但不安装 Databricks 开发的库，例如 databricks-automl。
Python 库在中央处理器 (CPU) 群集上
| 图书馆 | 版本 | 图书馆 | 版本 | 图书馆 | 版本 |
|---|---|---|---|---|---|
absl-py |
1.0.0 | accelerate |
1.5.2 | aiohappyeyeballs |
2.4.4 |
aiohttp |
3.11.10 | aiohttp-cors |
0.8.1 | aiosignal |
1.2.0 |
alembic |
1.16.5 | annotated-types |
0.7.0 | anyio |
4.6.2 |
argcomplete |
3.6.2 | argon2-cffi |
21.3.0 | argon2-cffi-bindings |
21.2.0 |
arrow |
1.3.0 | astor |
0.8.1 | asttokens |
2.0.5 |
astunparse |
1.6.3 | async-lru |
2.0.4 | attrs |
24.3.0 |
audioread |
3.0.1 | autocommand |
2.2.2 | azure-common |
1.1.28 |
azure-core |
1.35.1 | azure-cosmos |
4.3.1 | azure-identity |
1.20.0 |
azure-mgmt-core |
1.6.0 | azure-mgmt-web |
8.0.0 | azure-storage-blob |
12.23.0 |
azure-storage-file-datalake |
12.17.0 | babel |
2.16.0 | backoff |
2.2.1 |
backports.tarfile |
1.2.0 | bcrypt |
3.2.0 | beautifulsoup4 |
4.12.3 |
black |
24.10.0 | bleach |
6.2.0 | blinker |
1.7.0 |
blis |
0.7.11 | boto3 |
1.36.2 | botocore |
1.36.3 |
Brotli |
1.1.0 | cachetools |
5.5.1 | catalogue |
2.0.10 |
category-encoders |
2.6.3 | certifi |
2025年1月31日 | cffi |
1.17.1 |
chardet |
4.0.0 | charset-normalizer |
3.3.2 | circuitbreaker |
2.1.3 |
click |
8.1.7 | cloudpathlib |
0.22.0 | cloudpickle |
3.0.0 |
cmdstanpy |
1.2.5 | colorful |
0.5.7 | colorlog |
6.9.0 |
comm |
0.2.1 | confection |
0.1.5 | configparser |
5.2.0 |
contourpy |
1.3.1 | coolname |
2.2.0 | cramjam |
2.11.0 |
cryptography |
43.0.3 | cycler |
0.11.0 | cymem |
2.0.11 |
Cython |
3.0.12 | dacite |
1.9.2 | databricks-automl-runtime |
0.2.21 |
databricks-feature-engineering |
0.12.1 | databricks-sdk |
0.49.0 | datasets |
3.5.0 |
dbl-tempo |
0.1.26 | dbus-python |
1.3.2 | debugpy |
1.8.11 |
decorator |
5.1.1 | deepspeed |
0.16.5 | defusedxml |
0.7.1 |
dill |
0.3.8 | distlib |
0.3.9 | dm-tree |
0.1.9 |
docstring-to-markdown |
0.11 | einops |
0.8.1 | entrypoints |
0.4 |
evaluate |
0.4.3 | executing |
0.8.3 | facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 | fastapi |
0.117.1 | fastjsonschema |
2.21.2 |
fasttext-wheel |
0.9.2 | filelock |
3.13.1 | Flask |
2.2.5 |
flatbuffers |
25.2.10 | fonttools |
4.55.3 | fqdn |
1.5.1 |
frozenlist |
1.5.0 | fsspec |
2023.5.0 | future |
0.18.3 |
gast |
0.4.0 | gitdb |
4.0.11 | GitPython |
3.1.43 |
google-api-core |
2.20.0 | google-auth |
2.40.3 | google-cloud-core |
2.4.3 |
google-cloud-storage |
2.10.0 | google-crc32c |
1.7.1 | google-pasta |
0.2.0 |
google-resumable-media |
2.7.2 | googleapis-common-protos |
1.65.0 | gql |
4.0.0 |
graphql-core |
3.2.4 | greenlet |
3.1.1 | grpcio |
1.67.0 |
grpcio-status |
1.67.0 | gunicorn |
20.1.0 | gymnasium |
0.28.1 |
h11 |
0.14.0 | h5py |
3.12.1 | hjson |
3.1.0 |
holidays |
0.54 | htmlmin |
0.1.12 | httpcore |
1.0.2 |
httplib2 |
0.20.4 | httpx |
0.27.0 | huggingface-hub |
0.30.2 |
idna |
3.7 | ImageHash |
4.3.1 | imageio |
2.37.0 |
imbalanced-learn |
0.13.0 | importlib-metadata |
6.6.0 | importlib_resources |
6.5.2 |
inflect |
7.3.1 | iniconfig |
1.1.1 | ipyflow-core |
0.0.209 |
ipykernel |
6.29.5 | ipython |
8.30.0 | ipython-genutils |
0.2.0 |
ipywidgets |
7.8.1 | 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 |
0.19.2 |
Jinja2 |
3.1.5 | jiter |
0.11.0 | jmespath |
1.0.1 |
joblib |
1.4.2 | joblibspark |
0.6.0 | json5 |
0.9.25 |
jsonpatch |
1.33 | jsonpointer |
3.0.0 | jsonschema |
4.23.0 |
jsonschema-specifications |
2023年7月1日 | jupyter-events |
0.10.0 | jupyter-lsp |
2.2.0 |
jupyter_client |
8.6.3 | jupyter_core |
5.7.2 | jupyter_server |
2.14.1 |
jupyter\_server\_terminals |
0.4.4 | jupyterlab |
4.3.4 | jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 | jupyterlab_server |
2.27.3 | keras |
3.5.0 |
kiwisolver |
1.4.8 | langchain |
0.3.21 | langchain-core |
0.3.63 |
langchain-text-splitters |
0.3.8 | langcodes |
3.5.0 | langsmith |
0.1.133 |
language_data |
1.3.0 | launchpadlib |
1.11.0 | lazr.restfulclient |
0.14.6 |
lazr.uri |
1.0.6 | lazy_loader |
0.4 | libclang |
15.0.6.1 |
librosa |
0.11.0 | lightgbm |
4.6.0 | lightning-utilities |
0.15.2 |
linkify-it-py |
2.0.0 | llvmlite |
0.44.0 | lz4 |
4.3.2 |
Mako |
1.2.0 | marisa-trie |
1.2.0 | Markdown |
3.4.1 |
markdown-it-py |
2.2.0 | MarkupSafe |
3.0.2 | matplotlib |
3.10.0 |
matplotlib-inline |
0.1.7 | mccabe |
0.7.0 | mdit-py-plugins |
0.3.0 |
mdurl |
0.1.0 | memray |
1.18.0 | mistune |
2.0.4 |
ml_dtypes |
0.5.3 | mlflow-skinny |
3.0.1 | mmh3 |
5.2.0 |
more-itertools |
10.3.0 | mosaicml-cli |
0.6.41 | mosaicml-streaming |
0.12.0 |
mpmath |
1.3.0 | msal |
1.34.0 | msal-extensions |
1.3.1 |
msgpack |
1.1.1 | multidict |
6.1.0 | multimethod |
1.12 |
multiprocess |
0.70.16 | murmurhash |
1.0.13 | mypy-extensions |
1.0.0 |
namex |
0.1.0 | nbclient |
0.8.0 | nbconvert |
7.16.4 |
nbformat |
5.10.4 | nest-asyncio |
1.6.0 | networkx |
3.4.2 |
ninja |
1.11.1.4 | nltk |
3.9.1 | nodeenv |
1.9.1 |
notebook |
7.3.2 | notebook_shim |
0.2.3 | numba |
0.61.0 |
numpy |
2.1.3 | nvidia-nccl-cu12 |
2.28.3 | oauthlib |
3.2.0 |
oci |
2.160.2 | openai |
1.69.0 | opencensus |
0.11.4 |
opencensus-context |
0.1.3 | opentelemetry-api |
1.37.0 | opentelemetry-sdk |
1.37.0 |
opentelemetry-semantic-conventions |
0.58b0 | opt_einsum |
3.4.0 | optree |
0.17.0 |
optuna |
3.6.1 | optuna-integration |
3.6.0 | orjson |
3.11.3 |
overrides |
7.4.0 | packaging |
24.2 | pandas |
2.2.3 |
pandocfilters |
1.5.0 | paramiko |
3.4.0 | parso |
0.8.4 |
pathspec |
0.10.3 | patsy |
1.0.1 | pexpect |
4.8.0 |
phik |
0.12.5 | pillow |
11.1.0 | pip |
25.0.1 |
platformdirs |
3.10.0 | plotly |
5.24.1 | pluggy |
1.5.0 |
pmdarima\* |
2.0.4 | pooch |
1.8.2 | preshed |
3.0.10 |
prometheus_client |
0.21.0 | prompt-toolkit |
3.0.43 | propcache |
0.2.0 |
prophet |
1.1.6 | proto-plus |
1.26.1 | protobuf |
5.29.4 |
psutil |
5.9.0 | psycopg2 |
2.9.3 | ptyprocess |
0.7.0 |
pure-eval |
0.2.2 | puremagic |
1.30 | py-cpuinfo |
9.0.0 |
py-spy |
0.4.1 | pyarrow |
19.0.1 | pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 | pybind11 |
3.0.1 | pyccolo |
0.0.71 |
pycparser |
2.21 | pydantic |
2.10.6 | pydantic_core |
2.27.2 |
pyflakes |
3.2.0 | Pygments |
2.15.1 | PyGObject |
3.48.2 |
pyiceberg |
0.9.0 | PyJWT |
2.10.1 | PyNaCl |
1.5.0 |
pyodbc |
5.2.0 | pyOpenSSL |
24.2.1 | pyparsing |
3.2.0 |
pyright |
1.1.394 | pytesseract |
0.3.10 | pytest |
8.3.5 |
python-dateutil |
2.9.0.post0 | python-editor |
1.0.4 | python-json-logger |
3.2.1 |
python-lsp-jsonrpc |
1.1.2 | python-lsp-server |
1.12.0 | python-snappy |
0.7.3 |
pytoolconfig |
1.2.6 | pytorch-ranger |
0.1.1 | pytz |
2024.1 |
PyWavelets |
1.8.0 | PyYAML |
6.0.2 | pyzmq |
26.2.0 |
questionary |
2.1.1 | ray |
2.37.0 | referencing |
0.30.2 |
regex |
2024.11.6 | requests |
2.32.3 | requests-oauthlib |
1.3.1 |
requests-toolbelt |
1.0.0 | rfc3339-validator |
0.1.4 | rfc3986-validator |
0.1.1 |
rich |
13.9.4 | rope |
1.12.0 | rpds-py |
0.22.3 |
rsa |
4.9.1 | ruamel.yaml |
0.18.15 | ruamel.yaml.clib |
0.2.14 |
s3transfer |
0.11.3 | safetensors |
0.6.2 | scikit-image |
0.25.0 |
scikit-learn |
1.6.1 | scipy |
1.15.1 | seaborn |
0.13.2 |
Send2Trash |
1.8.2 | sentence-transformers |
4.0.1 | sentencepiece |
0.2.0 |
setuptools |
74.0.0 | shap |
0.47.1 | shellingham |
1.5.4 |
simplejson |
3.17.6 | six |
1.16.0 | sklearn-compat |
0.1.3 |
slicer |
0.0.8 | smart_open |
7.3.1 | smmap |
5.0.0 |
sniffio |
1.3.0 | sortedcontainers |
2.4.0 | soundfile |
0.13.1 |
soupsieve |
2.5 | soxr |
1.0.0 | spacy |
3.7.5 |
spacy-legacy |
3.0.12 | spacy-loggers |
1.0.5 | SQLAlchemy |
2.0.37 |
sqlparse |
0.4.2 | srsly |
2.5.1 | ssh-import-id |
5.11 |
stack-data |
0.2.0 | stanio |
0.5.1 | starlette |
0.48.0 |
statsmodels |
0.14.4 | strictyaml |
1.7.3 | sympy |
1.13.3 |
tabulate |
0.9.0 | tenacity |
9.0.0 | tensorboard |
2.19.0 |
tensorboard-data-server |
0.7.2 | tensorboardX |
2.6.4 | tensorflow |
2.19.0 |
tensorflow-estimator |
2.15.0 | termcolor |
3.1.0 | terminado |
0.17.1 |
textual |
4.0.0 | tf_keras |
2.19.0 | thinc |
8.2.4 |
threadpoolctl |
3.5.0 | tifffile |
2024年12月12日 | tiktoken |
0.9.0 |
tinycss2 |
1.4.0 | tokenize_rt |
6.1.0 | tokenizers |
0.21.0 |
tomli |
2.0.1 | torch |
2.7.0+cpu | torch-optimizer |
0.3.0 |
torcheval |
0.0.7 | torchmetrics |
1.6.0 | torchvision |
0.22.0+cpu |
tornado |
6.4.2 | tqdm |
4.67.1 | traitlets |
5.14.3 |
transformers |
4.51.3 | typeguard |
4.4.2 | typer |
0.19.2 |
types-python-dateutil |
2.9.0.20250822 | typing_extensions |
4.12.2 | tzdata |
2024.1 |
uc-micro-py |
1.0.1 | ujson |
5.10.0 | unattended-upgrades |
0.1 |
uri-template |
1.3.0 | urllib3 |
2.3.0 | uvicorn |
0.37.0 |
validators |
0.35.0 | virtualenv |
20.29.3 | visions |
0.8.1 |
wadllib |
1.3.6 | wasabi |
1.1.3 | wcwidth |
0.2.5 |
weasel |
0.4.1 | webcolors |
24.11.1 | webencodings |
0.5.1 |
websocket-client |
1.8.0 | websockets |
15.0.1 | Werkzeug |
3.1.3 |
whatthepatch |
1.0.2 | wheel |
0.45.1 | widgetsnbextension |
3.6.6 |
wordcloud |
1.9.4 | wrapt |
1.17.0 | xgboost |
3.0.0 |
xgboost-ray |
0.1.19 | xxhash |
3.5.0 | yapf |
0.40.2 |
yarl |
1.18.0 | ydata-profiling |
4.16.1 | zipp |
3.21.0 |
zstd |
1.5.5.1 |
* 对于在 2026 年 1 月 9 日或之后创建的计算， pmdarima 已升级到 2.1.1。
Python GPU 集群上的库
注释
PyTorch 使用 CUDA PyPI 依赖项提供 CUDA 支持，而不是内置于 Databricks Runtime 17.3 LTS ML 中的 CUDA 库版本。
| 图书馆 | 版本 | 图书馆 | 版本 | 图书馆 | 版本 |
|---|---|---|---|---|---|
absl-py |
1.0.0 | accelerate |
1.5.2 | aiohappyeyeballs |
2.4.4 |
aiohttp |
3.11.10 | aiohttp-cors |
0.8.1 | aiosignal |
1.2.0 |
annotated-types |
0.7.0 | anyio |
4.6.2 | argcomplete |
3.6.2 |
argon2-cffi |
21.3.0 | argon2-cffi-bindings |
21.2.0 | arrow |
1.3.0 |
astor |
0.8.1 | asttokens |
2.0.5 | astunparse |
1.6.3 |
async-lru |
2.0.4 | attrs |
24.3.0 | audioread |
3.0.1 |
autocommand |
2.2.2 | azure-common |
1.1.28 | azure-core |
1.35.1 |
azure-cosmos |
4.3.1 | azure-identity |
1.20.0 | azure-mgmt-core |
1.6.0 |
azure-mgmt-web |
8.0.0 | azure-storage-blob |
12.23.0 | azure-storage-file-datalake |
12.17.0 |
babel |
2.16.0 | backoff |
2.2.1 | backports.tarfile |
1.2.0 |
bcrypt |
3.2.0 | beautifulsoup4 |
4.12.3 | black |
24.10.0 |
bleach |
6.2.0 | blinker |
1.7.0 | blis |
0.7.11 |
boto3 |
1.36.2 | botocore |
1.36.3 | Brotli |
1.1.0 |
cachetools |
5.5.1 | catalogue |
2.0.10 | category-encoders |
2.6.3 |
certifi |
2025年1月31日 | cffi |
1.17.1 | chardet |
4.0.0 |
charset-normalizer |
3.3.2 | circuitbreaker |
2.1.3 | click |
8.1.7 |
cloudpathlib |
0.22.0 | cloudpickle |
3.0.0 | cmdstanpy |
1.2.5 |
colorful |
0.5.7 | colorlog |
6.9.0 | comm |
0.2.1 |
confection |
0.1.5 | configparser |
5.2.0 | contourpy |
1.3.1 |
coolname |
2.2.0 | cramjam |
2.11.0 | cryptography |
43.0.3 |
cycler |
0.11.0 | cymem |
2.0.11 | Cython |
3.0.12 |
dacite |
1.9.2 | databricks-automl-runtime |
0.2.21 | databricks-feature-engineering |
0.12.1 |
databricks-sdk |
0.49.0 | datasets |
3.5.0 | dbl-tempo |
0.1.26 |
dbus-python |
1.3.2 | debugpy |
1.8.11 | decorator |
5.1.1 |
deepspeed |
0.16.5 | defusedxml |
0.7.1 | dill |
0.3.8 |
distlib |
0.3.9 | dm-tree |
0.1.9 | docstring-to-markdown |
0.11 |
einops |
0.8.1 | entrypoints |
0.4 | evaluate |
0.4.3 |
executing |
0.8.3 | facets-overview |
1.1.1 | Farama-Notifications |
0.0.4 |
fastapi |
0.117.1 | fastjsonschema |
2.21.2 | fasttext-wheel |
0.9.2 |
filelock |
3.13.1 | flash_attn |
2.7.4.post1 | Flask |
2.2.5 |
flatbuffers |
25.2.10 | fonttools |
4.55.3 | fqdn |
1.5.1 |
frozenlist |
1.5.0 | fsspec |
2023.5.0 | future |
0.18.3 |
gast |
0.4.0 | gitdb |
4.0.11 | GitPython |
3.1.43 |
google-api-core |
2.20.0 | google-auth |
2.40.3 | google-cloud-core |
2.4.3 |
google-cloud-storage |
2.10.0 | google-crc32c |
1.7.1 | google-pasta |
0.2.0 |
google-resumable-media |
2.7.2 | googleapis-common-protos |
1.65.0 | gql |
4.0.0 |
graphql-core |
3.2.4 | greenlet |
3.1.1 | grpcio |
1.67.0 |
grpcio-status |
1.67.0 | gunicorn |
20.1.0 | gymnasium |
0.28.1 |
h11 |
0.14.0 | h5py |
3.12.1 | hjson |
3.1.0 |
holidays |
0.54 | htmlmin |
0.1.12 | httpcore |
1.0.2 |
httplib2 |
0.20.4 | httpx |
0.27.0 | huggingface-hub |
0.30.2 |
idna |
3.7 | ImageHash |
4.3.1 | imageio |
2.37.0 |
imbalanced-learn |
0.13.0 | importlib-metadata |
6.6.0 | importlib_resources |
6.5.2 |
inflect |
7.3.1 | iniconfig |
1.1.1 | ipyflow-core |
0.0.209 |
ipykernel |
6.29.5 | ipython |
8.30.0 | ipython-genutils |
0.2.0 |
ipywidgets |
7.8.1 | 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 |
0.19.2 |
Jinja2 |
3.1.5 | jiter |
0.11.0 | jmespath |
1.0.1 |
joblib |
1.4.2 | joblibspark |
0.6.0 | json5 |
0.9.25 |
jsonpatch |
1.33 | jsonpointer |
3.0.0 | jsonschema |
4.23.0 |
jsonschema-specifications |
2023年7月1日 | jupyter-events |
0.10.0 | jupyter-lsp |
2.2.0 |
jupyter_client |
8.6.3 | jupyter_core |
5.7.2 | jupyter_server |
2.14.1 |
jupyter\_server\_terminals |
0.4.4 | jupyterlab |
4.3.4 | jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 | jupyterlab_server |
2.27.3 | keras |
3.5.0 |
kiwisolver |
1.4.8 | langchain |
0.3.21 | langchain-core |
0.3.63 |
langchain-text-splitters |
0.3.8 | langcodes |
3.5.0 | langsmith |
0.1.133 |
language_data |
1.3.0 | launchpadlib |
1.11.0 | lazr.restfulclient |
0.14.6 |
lazr.uri |
1.0.6 | lazy_loader |
0.4 | libclang |
15.0.6.1 |
librosa |
0.11.0 | lightgbm |
4.6.0 | lightning-utilities |
0.15.2 |
linkify-it-py |
2.0.0 | llvmlite |
0.44.0 | lz4 |
4.3.2 |
Mako |
1.2.0 | marisa-trie |
1.2.0 | Markdown |
3.4.1 |
markdown-it-py |
2.2.0 | MarkupSafe |
3.0.2 | matplotlib |
3.10.0 |
matplotlib-inline |
0.1.7 | mccabe |
0.7.0 | mdit-py-plugins |
0.3.0 |
mdurl |
0.1.0 | memray |
1.18.0 | mistune |
2.0.4 |
ml_dtypes |
0.5.3 | mlflow-skinny |
3.0.1 | mmh3 |
5.2.0 |
more-itertools |
10.3.0 | mosaicml-cli |
0.6.41 | mosaicml-streaming |
0.12.0 |
mpmath |
1.3.0 | msal |
1.34.0 | msal-extensions |
1.3.1 |
msgpack |
1.1.1 | multidict |
6.1.0 | multimethod |
1.12 |
multiprocess |
0.70.16 | murmurhash |
1.0.13 | mypy-extensions |
1.0.0 |
namex |
0.1.0 | nbclient |
0.8.0 | nbconvert |
7.16.4 |
nbformat |
5.10.4 | nest-asyncio |
1.6.0 | networkx |
3.4.2 |
ninja |
1.11.1.4 | nltk |
3.9.1 | nodeenv |
1.9.1 |
notebook |
7.3.2 | notebook_shim |
0.2.3 | numba |
0.61.0 |
numpy |
2.1.3 | nvidia-cublas-cu12 |
12.6.4.1 | nvidia-cuda-cupti-cu12 |
12.6.80 |
nvidia-cuda-nvrtc-cu12 |
12.6.77 | nvidia-cuda-runtime-cu12 |
12.6.77 | nvidia-cudnn-cu12 |
9.5.1.17 |
nvidia-cufft-cu12 |
11.3.0.4 | nvidia-cufile-cu12 |
1.11.1.6 | nvidia-curand-cu12 |
10.3.7.77 |
nvidia-cusolver-cu12 |
11.7.1.2 | nvidia-cusparse-cu12 |
12.5.4.2 | nvidia-cusparselt-cu12 |
0.6.3 |
nvidia-nccl-cu12 |
2.26.2 | nvidia-nvjitlink-cu12 |
12.6.85 | nvidia-nvtx-cu12 |
12.6.77 |
oauthlib |
3.2.0 | oci |
2.160.2 | openai |
1.69.0 |
opencensus |
0.11.4 | opencensus-context |
0.1.3 | opentelemetry-api |
1.37.0 |
opentelemetry-sdk |
1.37.0 | opentelemetry-semantic-conventions |
0.58b0 | opt_einsum |
3.4.0 |
optree |
0.17.0 | optuna |
3.6.1 | optuna-integration |
3.6.0 |
orjson |
3.11.3 | overrides |
7.4.0 | packaging |
24.2 |
pandas |
2.2.3 | pandocfilters |
1.5.0 | paramiko |
3.4.0 |
parso |
0.8.4 | pathspec |
0.10.3 | patsy |
1.0.1 |
pexpect |
4.8.0 | phik |
0.12.5 | pillow |
11.1.0 |
pip |
25.0.1 | platformdirs |
3.10.0 | plotly |
5.24.1 |
pluggy |
1.5.0 | pmdarima\* |
2.0.4 | pooch |
1.8.2 |
preshed |
3.0.10 | prometheus_client |
0.21.0 | prompt-toolkit |
3.0.43 |
propcache |
0.2.0 | prophet |
1.1.6 | proto-plus |
1.26.1 |
protobuf |
5.29.4 | psutil |
5.9.0 | psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 | pure-eval |
0.2.2 | puremagic |
1.30 |
py-cpuinfo |
9.0.0 | py-spy |
0.4.1 | pyarrow |
19.0.1 |
pyasn1 |
0.4.8 | pyasn1-modules |
0.2.8 | pybind11 |
3.0.1 |
pyccolo |
0.0.71 | pycparser |
2.21 | pydantic |
2.10.6 |
pydantic_core |
2.27.2 | pyflakes |
3.2.0 | Pygments |
2.15.1 |
PyGObject |
3.48.2 | pyiceberg |
0.9.0 | PyJWT |
2.10.1 |
PyNaCl |
1.5.0 | pyodbc |
5.2.0 | pyOpenSSL |
24.2.1 |
pyparsing |
3.2.0 | pyright |
1.1.394 | pytesseract |
0.3.10 |
pytest |
8.3.5 | python-dateutil |
2.9.0.post0 | python-editor |
1.0.4 |
python-json-logger |
3.2.1 | python-lsp-jsonrpc |
1.1.2 | python-lsp-server |
1.12.0 |
python-snappy |
0.7.3 | pytoolconfig |
1.2.6 | pytorch-ranger |
0.1.1 |
pytz |
2024.1 | PyWavelets |
1.8.0 | PyYAML |
6.0.2 |
pyzmq |
26.2.0 | questionary |
2.1.1 | ray |
2.37.0 |
referencing |
0.30.2 | regex |
2024.11.6 | requests |
2.32.3 |
requests-oauthlib |
1.3.1 | requests-toolbelt |
1.0.0 | rfc3339-validator |
0.1.4 |
rfc3986-validator |
0.1.1 | rich |
13.9.4 | rope |
1.12.0 |
rpds-py |
0.22.3 | rsa |
4.9.1 | ruamel.yaml |
0.18.15 |
ruamel.yaml.clib |
0.2.14 | s3transfer |
0.11.3 | safetensors |
0.6.2 |
scikit-image |
0.25.0 | scikit-learn |
1.6.1 | scipy |
1.15.1 |
seaborn |
0.13.2 | Send2Trash |
1.8.2 | sentence-transformers |
4.0.1 |
sentencepiece |
0.2.0 | setuptools |
74.0.0 | shap |
0.47.1 |
shellingham |
1.5.4 | simplejson |
3.17.6 | six |
1.16.0 |
sklearn-compat |
0.1.3 | slicer |
0.0.8 | smart_open |
7.3.1 |
smmap |
5.0.0 | sniffio |
1.3.0 | sortedcontainers |
2.4.0 |
soundfile |
0.13.1 | soupsieve |
2.5 | soxr |
1.0.0 |
spacy |
3.7.5 | spacy-legacy |
3.0.12 | spacy-loggers |
1.0.5 |
SQLAlchemy |
2.0.37 | sqlparse |
0.4.2 | srsly |
2.5.1 |
ssh-import-id |
5.11 | stack-data |
0.2.0 | stanio |
0.5.1 |
starlette |
0.48.0 | statsmodels |
0.14.4 | strictyaml |
1.7.3 |
sympy |
1.13.3 | tabulate |
0.9.0 | tenacity |
9.0.0 |
tensorboard |
2.19.0 | tensorboard-data-server |
0.7.2 | tensorboardX |
2.6.4 |
tensorflow |
2.19.0 | tensorflow-estimator |
2.15.0 | termcolor |
3.1.0 |
terminado |
0.17.1 | textual |
4.0.0 | tf_keras |
2.19.0 |
thinc |
8.2.4 | threadpoolctl |
3.5.0 | tifffile |
2024年12月12日 |
tiktoken |
0.9.0 | tinycss2 |
1.4.0 | tokenize_rt |
6.1.0 |
tokenizers |
0.21.0 | tomli |
2.0.1 | torch |
2.7.0 |
torch-optimizer |
0.3.0 | torcheval |
0.0.7 | torchmetrics |
1.6.0 |
torchvision |
0.22.0 | tornado |
6.4.2 | tqdm |
4.67.1 |
traitlets |
5.14.3 | transformers |
4.51.3 | triton |
3.3.0 |
typeguard |
4.4.2 | typer |
0.19.2 | types-python-dateutil |
2.9.0.20250822 |
typing_extensions |
4.12.2 | tzdata |
2024.1 | uc-micro-py |
1.0.1 |
ujson |
5.10.0 | unattended-upgrades |
0.1 | uri-template |
1.3.0 |
urllib3 |
2.3.0 | uvicorn |
0.37.0 | validators |
0.35.0 |
virtualenv |
20.29.3 | visions |
0.8.1 | wadllib |
1.3.6 |
wasabi |
1.1.3 | wcwidth |
0.2.5 | weasel |
0.4.1 |
webcolors |
24.11.1 | webencodings |
0.5.1 | websocket-client |
1.8.0 |
websockets |
15.0.1 | Werkzeug |
3.1.3 | whatthepatch |
1.0.2 |
wheel |
0.45.1 | widgetsnbextension |
3.6.6 | wordcloud |
1.9.4 |
wrapt |
1.17.0 | xgboost |
3.0.0 | xgboost-ray |
0.1.19 |
xxhash |
3.5.0 | yapf |
0.40.2 | yarl |
1.18.0 |
ydata-profiling |
4.16.1 | zipp |
3.21.0 | zstd |
1.5.5.1 |
* 对于在 2026 年 1 月 9 日或之后创建的计算， pmdarima 已升级到 2.1.1。
R 软件库
R 库与 Databricks Runtime 17.3 LTS 中的 R 库 相同。
Java和 Scala 库（Scala 2.12 群集）
除了 Databricks Runtime 17.3 LTS 中的Java库和 Scala 库，Databricks Runtime 17.3 LTS ML 还包含以下 JAR：
CPU 群集
| 群组标识符 | 工件编号 | 版本 |
|---|---|---|
ml.dmlc |
xgboost4j-spark_2.13 |
2.1.3 |
ml.dmlc |
xgboost4j_2.13 |
2.1.3 |
org.graphframes |
graphframes_2.13 |
0.8.4-db1-spark3.5 |
org.mlflow |
mlflow-client |
2.15.1 |
org.scala-lang.modules |
scala-collection-compat_2.13 |
2.12.0 |
org.tensorflow |
spark-tensorflow-connector_2.13 |
1.15.0 |
GPU 群集
| 群组标识符 | 工件编号 | 版本 |
|---|---|---|
ml.dmlc |
xgboost4j-spark_2.13 |
2.1.3 |
ml.dmlc |
xgboost4j_2.13 |
2.1.3 |
org.graphframes |
graphframes_2.13 |
0.8.4-db1-spark3.5 |
org.mlflow |
mlflow-client |
2.15.1 |
org.scala-lang.modules |
scala-collection-compat_2.13 |
2.12.0 |
org.tensorflow |
spark-tensorflow-connector_2.13 |
1.15.0 |
不支持的版本
小窍门
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。