以下发行说明提供有关 Databricks Runtime 19 ML 的信息。
Azure Databricks于 2026 年 6 月发布此版本。
Databricks Runtime 19 ML 基于 Databricks Runtime 19 构建。 有关 Databricks Runtime 19 中的新增功能（包括 Apache Spark MLlib 和 SparkR）的信息，请参阅 Databricks Runtime 19 发行说明。
行为变更
-
删除Python包：与 Databricks Runtime 18 ML 相比，除了从 Databricks Runtime 19 中删除的包外，Databricks Runtime 19 ML 中还删除了大约 40 个 ML 运行时包。 将删除 TensorFlow/Keras 堆栈 （
tensorflow，keras，tf_keras）。 依赖于这些包的工作负荷必须使用群集库或 init 脚本显式安装它们。 有关 Databricks Runtime 19 ML 中包含的包的完整列表，请参阅Python库。
新功能和改进
库更新包括：
- CUDA 更新到 13.0
- flash_attn 2.8.3
- langchain 1.3.1
- mlflow-skinny 3.12.0
- openai 2.37.0
- torch 2.12.0
- torchvision 0.27.0
- transformers 4.57.6
- triton 3.7.0
- xgboost 3.2.0
系统环境
Databricks Runtime 19 ML 中的系统环境不同于 Databricks Runtime 19，如下所示。
- 对于 GPU 群集，Databricks Runtime ML 包含以下 NVIDIA GPU 库：
- CUDA 13.0
- cublas 13.1.1.3-1
- cusolver 12.0.4.66
- cupti 13.0.85
- cusparse 12.6.3.3
- cuDNN 9.23.0.39
- NCCL 2.28.3
Libraries
以下部分列出了 Databricks Runtime 19 ML 中包含的库，这些库不同于 Databricks Runtime 19 中包含的库。
顶层库
Databricks Runtime 19 ML 包含以下顶级 库：
Python库
Databricks Runtime 19 ML 使用virtualenv进行 Python 包管理，并包含许多常用的机器学习包。
若要在本地 Python 虚拟环境中重现 Databricks Runtime ML 的 Python 环境，请下载用于 CPU 群集的 requirements-cpu-19.txt 或用于 GPU 群集的 requirements-gpu-19.txt。 然后运行 pip install -r requirements-<cpu|gpu>-19.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。
CPU 集群上的 Python 库
| Library | 版本 | Library | 版本 | Library | 版本 |
|---|---|---|---|---|---|
absl-py |
2.3.1 | accelerate |
1.13.0 | aiohappyeyeballs |
2.6.1 |
aiohttp |
3.13.2 | aiohttp-cors |
0.8.1 | aiosignal |
1.4.0 |
alembic |
1.18.4 | annotated-doc |
0.0.4 | annotated-types |
0.7.0 |
anyio |
4.10.0 | arro3-core |
0.8.0 | asttokens |
3.0.0 |
astunparse |
1.6.3 | attrs |
25.4.0 | audioread |
3.1.0 |
autocommand |
2.2.2 | azure-core |
1.41.0 | azure-cosmos |
4.3.1 |
azure-identity |
1.25.3 | azure-mgmt-core |
1.6.0 | azure-mgmt-web |
10.1.0 |
azure-storage-blob |
12.29.0 | azure-storage-file-datalake |
12.24.0 | backports.tarfile |
1.2.0 |
black |
25.9.0 | blinker |
1.7.0 | blis |
1.3.3 |
boto3 |
1.40.46 | botocore |
1.40.46 | cachetools |
5.5.1 |
catalogue |
2.0.10 | certifi |
2025.11.12 | cffi |
2.0.0 |
charset-normalizer |
3.4.4 | click |
8.2.1 | cloudpathlib |
0.24.0 |
cloudpickle |
3.1.1 | cmdstanpy |
1.3.0 | colorful |
0.5.8 |
colorlog |
6.10.1 | comm |
0.2.3 | confection |
1.3.3 |
contourpy |
1.3.3 | cryptography |
46.0.3 | cycler |
0.11.0 |
cymem |
2.0.13 | databricks-agents |
1.10.2 | databricks-feature-engineering |
0.13.0.1 |
databricks-sdk |
0.108.0 | dataclasses-json |
0.6.7 | datasets |
4.8.5 |
dbl-tempo |
0.1.26 | dbus-python |
1.3.2 | debugpy |
1.8.16 |
decorator |
5.2.1 | deepspeed |
0.19.0 | deltalake |
1.5.1 |
Deprecated |
1.3.1 | dill |
0.4.0 | distlib |
0.4.0 |
dm-tree |
0.1.10 | einops |
0.8.2 | evaluate |
0.4.6 |
executing |
2.2.1 | Farama-Notifications |
0.0.6 | fastapi |
0.136.1 |
filelock |
3.20.0 | Flask |
2.2.5 | fonttools |
4.60.1 |
frozenlist |
1.8.0 | fsspec |
2023.5.0 | gitdb |
4.0.11 |
GitPython |
3.1.45 | google-api-core |
2.30.3 | google-auth |
2.53.0 |
google-cloud-core |
2.6.0 | google-cloud-storage |
3.10.1 | google-crc32c |
1.8.0 |
google-resumable-media |
2.9.0 | googleapis-common-protos |
1.71.0 | graphql-core |
3.2.4 |
greenlet |
3.2.4 | grpcio |
1.76.0 | grpcio-status |
1.76.0 |
gymnasium |
0.28.1 | h11 |
0.16.0 | hf-xet |
1.5.0 |
hjson |
3.1.0 | holidays |
0.54 | httpcore |
1.0.9 |
httplib2 |
0.20.4 | httpx |
0.28.1 | huggingface_hub |
0.36.2 |
idna |
3.11 | ImageIO |
2.37.2 | imbalanced-learn |
0.14.0 |
importlib_metadata |
8.7.0 | importlib_resources |
7.1.0 | inflect |
7.3.1 |
iniconfig |
2.1.0 | ipyflow-core |
0.0.227 | ipykernel |
6.31.0 |
ipython |
9.7.0 | ipython\_pygments\_lexers |
1.1.1 | ipywidgets |
8.1.7 |
isodate |
0.7.2 | itsdangerous |
2.2.0 | jaraco.collections |
5.1.0 |
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 |
3.1.6 |
jiter |
0.15.0 | jmespath |
1.0.1 | joblib |
1.5.2 |
joblibspark |
0.6.0 | jsonpatch |
1.33 | jsonpointer |
3.1.1 |
jsonschema |
4.25.0 | jsonschema-specifications |
2025.9.1 | jupyter_client |
8.6.3 |
jupyter_core |
5.8.1 | jupyterlab_widgets |
3.0.15 | kiwisolver |
1.4.8 |
langchain |
1.3.1 | langchain-core |
1.4.0 | langchain-protocol |
0.0.15 |
langgraph |
1.2.1 | langgraph-checkpoint |
4.1.1 | langgraph-prebuilt |
1.1.0 |
langgraph-sdk |
0.3.15 | langsmith |
0.4.41 | launchpadlib |
1.11.0 |
lazr.restfulclient |
0.14.6 | lazr.uri |
1.0.6 | lazy_loader |
0.4 |
librosa |
0.11.0 | lightgbm |
4.6.0 | linkify-it-py |
2.0.3 |
llvmlite |
0.45.1 | lz4 |
4.4.5 | Mako |
1.3.12 |
marisa-trie |
1.2.0 | Markdown |
3.8 | markdown-it-py |
2.2.0 |
MarkupSafe |
3.0.2 | marshmallow |
3.26.2 | matplotlib |
3.10.6 |
matplotlib-inline |
0.2.1 | mccabe |
0.7.0 | mdit-py-plugins |
0.5.0 |
mdurl |
0.1.2 | memray |
1.19.3 | mlflow-skinny |
3.12.0 |
mmh3 |
5.2.1 | more-itertools |
10.3.0 | mpmath |
1.3.0 |
msal |
1.36.0 | msal-extensions |
1.3.1 | msgpack |
1.1.2 |
msrest |
0.7.1 | multidict |
6.7.0 | multiprocess |
0.70.18 |
murmurhash |
1.0.15 | mypy-extensions |
1.0.0 | nest-asyncio |
1.6.0 |
networkx |
3.5 | ninja |
1.13.0 | nltk |
3.9.2 |
nodeenv |
1.10.0 | numba |
0.62.1 | numpy |
2.3.4 |
nvidia-nccl-cu12 |
2.30.4 | oauthlib |
3.2.0 | openai |
2.37.0 |
opencensus |
0.11.4 | opencensus-context |
0.1.3 | opentelemetry-api |
1.42.1 |
opentelemetry-proto |
1.42.1 | opentelemetry-sdk |
1.42.1 | opentelemetry-semantic-conventions |
0.63b1 |
optuna |
3.6.1 | optuna-integration |
3.6.0 | orjson |
3.11.9 |
ormsgpack |
1.12.2 | packaging |
25.0 | pandas |
2.3.3 |
parso |
0.8.5 | pathspec |
0.12.1 | patsy |
1.0.1 |
pexpect |
4.9.0 | pillow |
12.0.0 | pip |
25.3 |
platformdirs |
4.5.0 | pluggy |
1.5.0 | pooch |
1.9.0 |
preshed |
3.0.13 | prometheus_client |
0.21.1 | prompt_toolkit |
3.0.52 |
propcache |
0.3.1 | prophet |
1.2.1 | proto-plus |
1.28.0 |
protobuf |
6.33.5 | psutil |
7.0.0 | ptyprocess |
0.7.0 |
pure_eval |
0.2.3 | py-cpuinfo |
9.0.0 | py-spy |
0.4.2 |
pyarrow |
21.0.0 | pyasn1 |
0.6.1 | pyasn1_modules |
0.4.2 |
pyccolo |
0.0.83 | pycparser |
2.23 | pydantic |
2.13.3 |
pydantic_core |
2.46.3 | pyflakes |
3.2.0 | Pygments |
2.19.2 |
PyGObject |
3.48.2 | pyiceberg |
0.11.1 | PyJWT |
2.10.1 |
pyparsing |
3.2.5 | pyright |
1.1.409 | pyroaring |
1.1.0 |
pytesseract |
0.3.13 | pytest |
8.4.2 | python-dateutil |
2.9.0.post0 |
python-dotenv |
1.2.2 | python-editor |
1.0.4 | pytokens |
0.2.0 |
pytz |
2025.2 | PyYAML |
6.0.3 | pyzmq |
27.1.0 |
ray |
2.37.0 | referencing |
0.37.0 | regex |
2025.9.1 |
requests |
2.32.5 | requests-oauthlib |
2.0.0 | requests-toolbelt |
1.0.0 |
rich |
14.2.0 | rpds-py |
0.28.0 | s3transfer |
0.14.0 |
safetensors |
0.7.0 | scikit-image |
0.25.2 | scikit-learn |
1.7.2 |
scipy |
1.16.3 | sentence-transformers |
5.5.1 | sentencepiece |
0.2.1 |
setuptools |
80.9.0 | shap |
0.51.0 | shellingham |
1.5.4 |
six |
1.17.0 | slicer |
0.0.8 | smart_open |
7.6.1 |
smmap |
5.0.0 | sniffio |
1.3.0 | soundfile |
0.13.1 |
soxr |
1.1.0 | spacy |
3.8.14 | spacy-legacy |
3.0.12 |
spacy-loggers |
1.0.5 | SQLAlchemy |
2.0.43 | sqlparse |
0.5.5 |
srsly |
2.5.3 | ssh-import-id |
5.11 | stack-data |
0.6.3 |
stanio |
0.5.1 | starlette |
0.52.1 | statsmodels |
0.14.5 |
strictyaml |
1.7.3 | sympy |
1.14.0 | tenacity |
9.1.2 |
tensorboard |
2.20.0 | tensorboard-data-server |
0.7.2 | tensorboardX |
2.6.5 |
textual |
8.2.7 | thinc |
8.3.13 | threadpoolctl |
3.5.0 |
tifffile |
2025.10.4 | tiktoken |
0.13.0 | tokenize_rt |
6.2.0 |
tokenizers |
0.22.1 | tomli |
2.0.1 | torch |
2.12.0+cpu |
torcheval |
0.0.7 | torchvision |
0.27.0+cpu | tornado |
6.5.1 |
tqdm |
4.67.1 | traitlets |
5.14.3 | transformers |
4.57.6 |
typeguard |
4.3.0 | typer |
0.25.1 | typing-inspect |
0.9.0 |
typing-inspection |
0.4.2 | typing_extensions |
4.15.0 | tzdata |
2026.2 |
uc-micro-py |
1.0.3 | unattended-upgrades |
0.1 | urllib3 |
2.5.0 |
uuid_utils |
0.16.0 | uvicorn |
0.47.0 | virtualenv |
20.35.4 |
wadllib |
1.3.6 | wasabi |
1.1.3 | wcwidth |
0.2.13 |
weasel |
1.0.0 | Werkzeug |
3.1.3 | wheel |
0.45.1 |
whenever |
0.7.3 | widgetsnbextension |
4.0.14 | wrapt |
1.17.0 |
xgboost |
3.2.0 | xgboost-ray |
0.1.19 | xxhash |
3.5.0 |
yarl |
1.22.0 | zipp |
3.23.0 | zstandard |
0.25.0 |
GPU 集群上的 Python 库
注释
PyTorch 使用 CUDA PyPI 依赖项提供 CUDA 支持，而不是内置于 Databricks Runtime 19 ML 中的 CUDA 库版本。
| Library | 版本 | Library | 版本 | Library | 版本 |
|---|---|---|---|---|---|
absl-py |
2.3.1 | accelerate |
1.13.0 | aiohappyeyeballs |
2.6.1 |
aiohttp |
3.13.2 | aiohttp-cors |
0.8.1 | aiosignal |
1.4.0 |
annotated-doc |
0.0.4 | annotated-types |
0.7.0 | anyio |
4.10.0 |
arro3-core |
0.8.0 | asttokens |
3.0.0 | astunparse |
1.6.3 |
attrs |
25.4.0 | audioread |
3.1.0 | autocommand |
2.2.2 |
azure-core |
1.41.0 | azure-cosmos |
4.3.1 | azure-identity |
1.25.3 |
azure-mgmt-core |
1.6.0 | azure-mgmt-web |
10.1.0 | azure-storage-blob |
12.29.0 |
azure-storage-file-datalake |
12.24.0 | backports.tarfile |
1.2.0 | black |
25.9.0 |
blinker |
1.7.0 | blis |
1.3.3 | boto3 |
1.40.46 |
botocore |
1.40.46 | cachetools |
5.5.1 | catalogue |
2.0.10 |
certifi |
2025.11.12 | cffi |
2.0.0 | charset-normalizer |
3.4.4 |
click |
8.2.1 | cloudpathlib |
0.24.0 | cloudpickle |
3.1.1 |
cmdstanpy |
1.3.0 | colorful |
0.5.8 | colorlog |
6.10.1 |
comm |
0.2.3 | confection |
1.3.3 | contourpy |
1.3.3 |
cryptography |
46.0.3 | cuda-bindings |
13.2.0 | cuda-pathfinder |
1.5.4 |
cuda-toolkit |
13.0.2 | cycler |
0.11.0 | cymem |
2.0.13 |
databricks-agents |
1.10.2 | databricks-feature-engineering |
0.13.0.1 | databricks-sdk |
0.108.0 |
dataclasses-json |
0.6.7 | datasets |
4.8.5 | dbl-tempo |
0.1.26 |
dbus-python |
1.3.2 | debugpy |
1.8.16 | decorator |
5.2.1 |
deepspeed |
0.19.0 | deltalake |
1.5.1 | Deprecated |
1.3.1 |
dill |
0.4.0 | distlib |
0.4.0 | dm-tree |
0.1.10 |
einops |
0.8.2 | evaluate |
0.4.6 | executing |
2.2.1 |
Farama-Notifications |
0.0.6 | fastapi |
0.136.3 | filelock |
3.20.0 |
flash_attn |
2.8.3 | Flask |
2.2.5 | fonttools |
4.60.1 |
frozenlist |
1.8.0 | fsspec |
2023.5.0 | gitdb |
4.0.11 |
GitPython |
3.1.45 | google-api-core |
2.30.3 | google-auth |
2.53.0 |
google-cloud-core |
2.6.0 | google-cloud-storage |
3.10.1 | google-crc32c |
1.8.0 |
google-resumable-media |
2.9.0 | googleapis-common-protos |
1.71.0 | graphql-core |
3.2.4 |
greenlet |
3.2.4 | grpcio |
1.76.0 | grpcio-status |
1.76.0 |
gymnasium |
0.28.1 | h11 |
0.16.0 | hf-xet |
1.5.0 |
hjson |
3.1.0 | holidays |
0.54 | httpcore |
1.0.9 |
httplib2 |
0.20.4 | httpx |
0.28.1 | huggingface_hub |
0.36.2 |
idna |
3.11 | ImageIO |
2.37.2 | imbalanced-learn |
0.14.0 |
importlib_metadata |
8.7.0 | importlib_resources |
7.1.0 | inflect |
7.3.1 |
iniconfig |
2.1.0 | ipyflow-core |
0.0.227 | ipykernel |
6.31.0 |
ipython |
9.7.0 | ipython\_pygments\_lexers |
1.1.1 | ipywidgets |
8.1.7 |
isodate |
0.7.2 | itsdangerous |
2.2.0 | jaraco.collections |
5.1.0 |
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 |
3.1.6 |
jiter |
0.15.0 | jmespath |
1.0.1 | joblib |
1.5.2 |
joblibspark |
0.6.0 | jsonpatch |
1.33 | jsonpointer |
3.1.1 |
jsonschema |
4.25.0 | jsonschema-specifications |
2025.9.1 | jupyter_client |
8.6.3 |
jupyter_core |
5.8.1 | jupyterlab_widgets |
3.0.15 | kiwisolver |
1.4.8 |
langchain |
1.3.1 | langchain-core |
1.4.0 | langchain-protocol |
0.0.15 |
langgraph |
1.2.1 | langgraph-checkpoint |
4.1.1 | langgraph-prebuilt |
1.1.0 |
langgraph-sdk |
0.3.15 | langsmith |
0.4.41 | launchpadlib |
1.11.0 |
lazr.restfulclient |
0.14.6 | lazr.uri |
1.0.6 | lazy_loader |
0.4 |
librosa |
0.11.0 | lightgbm |
4.6.0 | linkify-it-py |
2.0.3 |
llvmlite |
0.45.1 | lz4 |
4.4.5 | Mako |
1.3.12 |
marisa-trie |
1.2.0 | Markdown |
3.8 | markdown-it-py |
2.2.0 |
MarkupSafe |
3.0.2 | marshmallow |
3.26.2 | matplotlib |
3.10.6 |
matplotlib-inline |
0.2.1 | mccabe |
0.7.0 | mdit-py-plugins |
0.5.0 |
mdurl |
0.1.2 | memray |
1.19.3 | mlflow-skinny |
3.12.0 |
mmh3 |
5.2.1 | more-itertools |
10.3.0 | mpmath |
1.3.0 |
msal |
1.36.0 | msal-extensions |
1.3.1 | msgpack |
1.1.2 |
msrest |
0.7.1 | multidict |
6.7.0 | multiprocess |
0.70.18 |
murmurhash |
1.0.15 | mypy-extensions |
1.0.0 | nest-asyncio |
1.6.0 |
networkx |
3.5 | ninja |
1.13.0 | nltk |
3.9.2 |
nodeenv |
1.10.0 | numba |
0.62.1 | numpy |
2.3.4 |
nvidia-cublas |
13.1.1.3 | nvidia-cuda-cupti |
13.0.85 | nvidia-cuda-nvrtc |
13.0.88 |
nvidia-cuda-runtime |
13.0.96 | nvidia-cudnn-cu13 |
9.20.0.48 | nvidia-cufft |
12.0.0.61 |
nvidia-cufile |
1.15.1.6 | nvidia-curand |
10.4.0.35 | nvidia-cusolver |
12.0.4.66 |
nvidia-cusparse |
12.6.3.3 | nvidia-cusparselt-cu13 |
0.8.1 | nvidia-ml-py |
13.580.82 |
nvidia-nccl-cu12 |
2.30.4 | nvidia-nccl-cu13 |
2.29.7 | nvidia-nvjitlink |
13.0.88 |
nvidia-nvshmem-cu13 |
3.4.5 | nvidia-nvtx |
13.0.85 | oauthlib |
3.2.0 |
openai |
2.37.0 | opencensus |
0.11.4 | opencensus-context |
0.1.3 |
opentelemetry-api |
1.42.1 | opentelemetry-proto |
1.42.1 | opentelemetry-sdk |
1.42.1 |
opentelemetry-semantic-conventions |
0.63b1 | optuna |
3.6.1 | optuna-integration |
3.6.0 |
orjson |
3.11.9 | ormsgpack |
1.12.2 | packaging |
25.0 |
pandas |
2.3.3 | parso |
0.8.5 | pathspec |
0.12.1 |
patsy |
1.0.1 | pexpect |
4.9.0 | pillow |
12.0.0 |
pip |
25.3 | platformdirs |
4.5.0 | pluggy |
1.5.0 |
pooch |
1.9.0 | preshed |
3.0.13 | prometheus_client |
0.21.1 |
prompt_toolkit |
3.0.52 | propcache |
0.3.1 | prophet |
1.2.1 |
proto-plus |
1.28.0 | protobuf |
6.33.5 | psutil |
7.0.0 |
ptyprocess |
0.7.0 | pure_eval |
0.2.3 | py-cpuinfo |
9.0.0 |
py-spy |
0.4.2 | pyarrow |
21.0.0 | pyasn1 |
0.6.1 |
pyasn1_modules |
0.4.2 | pyccolo |
0.0.83 | pycparser |
2.23 |
pydantic |
2.13.3 | pydantic_core |
2.46.3 | pyflakes |
3.2.0 |
Pygments |
2.19.2 | PyGObject |
3.48.2 | pyiceberg |
0.11.1 |
PyJWT |
2.10.1 | pyparsing |
3.2.5 | pyright |
1.1.409 |
pyroaring |
1.1.0 | pytesseract |
0.3.13 | pytest |
8.4.2 |
python-dateutil |
2.9.0.post0 | python-dotenv |
1.2.2 | python-editor |
1.0.4 |
pytokens |
0.2.0 | pytz |
2025.2 | PyYAML |
6.0.3 |
pyzmq |
27.1.0 | ray |
2.37.0 | referencing |
0.37.0 |
regex |
2025.9.1 | requests |
2.32.5 | requests-oauthlib |
2.0.0 |
requests-toolbelt |
1.0.0 | rich |
14.2.0 | rpds-py |
0.28.0 |
s3transfer |
0.14.0 | safetensors |
0.7.0 | scikit-image |
0.25.2 |
scikit-learn |
1.7.2 | scipy |
1.16.3 | sentence-transformers |
5.5.1 |
sentencepiece |
0.2.1 | setuptools |
80.9.0 | shap |
0.51.0 |
shellingham |
1.5.4 | six |
1.17.0 | slicer |
0.0.8 |
smart_open |
7.6.1 | smmap |
5.0.0 | sniffio |
1.3.0 |
soundfile |
0.13.1 | soxr |
1.1.0 | spacy |
3.8.14 |
spacy-legacy |
3.0.12 | spacy-loggers |
1.0.5 | SQLAlchemy |
2.0.43 |
sqlparse |
0.5.5 | srsly |
2.5.3 | ssh-import-id |
5.11 |
stack-data |
0.6.3 | stanio |
0.5.1 | starlette |
0.52.1 |
statsmodels |
0.14.5 | strictyaml |
1.7.3 | sympy |
1.14.0 |
tenacity |
9.1.2 | tensorboard |
2.20.0 | tensorboard-data-server |
0.7.2 |
tensorboardX |
2.6.5 | textual |
8.2.7 | thinc |
8.3.13 |
threadpoolctl |
3.5.0 | tifffile |
2025.10.4 | tiktoken |
0.13.0 |
tokenize_rt |
6.2.0 | tokenizers |
0.22.1 | tomli |
2.0.1 |
torch |
2.12.0 | torcheval |
0.0.7 | torchvision |
0.27.0 |
tornado |
6.5.1 | tqdm |
4.67.1 | traitlets |
5.14.3 |
transformers |
4.57.6 | triton |
3.7.0 | typeguard |
4.3.0 |
typer |
0.25.1 | typing-inspect |
0.9.0 | typing-inspection |
0.4.2 |
typing_extensions |
4.15.0 | tzdata |
2026.2 | uc-micro-py |
1.0.3 |
unattended-upgrades |
0.1 | urllib3 |
2.5.0 | uuid_utils |
0.16.0 |
uvicorn |
0.47.0 | virtualenv |
20.35.4 | wadllib |
1.3.6 |
wasabi |
1.1.3 | wcwidth |
0.2.13 | weasel |
1.0.0 |
Werkzeug |
3.1.3 | wheel |
0.45.1 | whenever |
0.7.3 |
widgetsnbextension |
4.0.14 | wrapt |
1.17.0 | xgboost |
3.2.0 |
xgboost-ray |
0.1.19 | xxhash |
3.5.0 | yarl |
1.22.0 |
zipp |
3.23.0 | zstandard |
0.25.0 |
R 软件库
R 库与 Databricks Runtime 19 中的 R 库 相同。
Java 和 Scala 库 （Scala 2.13 群集）
除了 Databricks Runtime 19 中的Java和 Scala 库，Databricks Runtime 19 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-gpu_2.13 |
2.1.3 |
ml.dmlc |
xgboost4j-gpu_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
Tip
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。