databricks Runtime 15.3 for 機器學習
Databricks Runtime 15.3 for 機器學習 提供以 Databricks Runtime 15.3 為基礎的機器學習和數據科學就緒環境。 Databricks Runtime ML 包含許多熱門的機器學習連結庫，包括 TensorFlow、PyTorch 和 XGBoost。 Databricks Runtime ML 包含 AutoML，這是自動定型機器學習管線的工具。 Databricks Runtime ML 也支援使用 Horovod 的分散式深度學習訓練。
新功能和改進
Databricks Runtime 15.3 ML 建置在 Databricks Runtime 15.3 之上。 如需 Databricks Runtime 15.3 新功能的相關信息，包括 Apache Spark MLlib 和 SparkR，請參閱 Databricks Runtime 15.3 版本資訊。
Databricks AutoML 手動數據分割和範例權數
AutoML 現在支援手動數據分割，可讓您指定分類和回歸模型的逐列定型、驗證和測試數據集。 請參閱 將數據分割成定型、驗證和測試集。
AutoML 現在支援範例權數，讓您在回歸模型定型期間調整每個數據列的重要性。 如需詳細資訊，請參閱 AutoML Python API 的回歸參數。
系統環境
Databricks Runtime 15.3 ML 中的系統環境與 Databricks Runtime 15.3 不同，如下所示：
- 針對 GPU 叢集，Databricks Runtime ML 包含下列 NVIDIA GPU 連結庫：
- CUDA 12.1
- cusolver 11.4.5.107-1
- cupti 12.1
- cuDNN 8.9.0.131-1
- NCCL 2.17.1
- TensorRT 8.6.1.6-1
程式庫
下列各節列出 Databricks Runtime 15.3 ML 中包含的連結庫，與 Databricks Runtime 15.3 中包含的連結庫不同。
本節內容：
頂層連結庫
Databricks Runtime 15.3 ML 包含下列最上層 連結庫：
Python 程式庫
Databricks Runtime 15.3 ML virtualenv 用於 Python 套件管理，並包含許多熱門 ML 套件。
除了下列各節中指定的套件之外，Databricks Runtime 15.3 ML 也包含下列套件：
- hyperopt 0.2.7+db3
- sparkdl 3.0.0_db1
- automl 1.27.0
若要在本機 Python 虛擬環境中重現 Databricks Runtime ML Python 環境，請下載 requirements-15.3.txt 檔案並執行 pip install -r requirements-15.3.txt。 此命令會安裝 Databricks Runtime ML 使用的所有 開放原始碼 連結庫，但不會安裝 Databricks 所開發的連結庫，例如 databricks-automl、 databricks-feature-engineering或 的 hyperoptDatabricks 分支。
CPU 叢集上的 Python 連結庫
| 程式庫 | 版本 | 程式庫 | 版本 | 程式庫 | 版本 |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | 加速 | 0.30.1 | aiohttp | 3.8.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | anyio | 3.5.0 |
| 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 | 4.0.2 |
| attrs | 22.1.0 | audioread | 3.0.1 | azure-core | 1.30.1 |
| azure-cosmos | 4.3.1 | azure-identity | 1.16.0 | azure-storage-blob | 12.19.1 |
| azure-storage-file-datalake | 12.14.0 | backcall | 0.2.0 | bcrypt | 3.2.0 |
| beautifulsoup4 | 4.12.2 | black | 23.3.0 | bleach | 4.1.0 |
| blinker | 1.4 | 幸福 | 0.7.11 | boto3 | 1.34.39 |
| botocore | 1.34.39 | Brotli | 1.0.9 | cachetools | 5.3.3 |
| 目錄 | 2.0.10 | category-encoders | 2.6.3 | certifi | 2023.7.22 |
| cffi | 1.15.1 | chardet | 4.0.0 | charset-normalizer | 2.0.4 |
| circuitbreaker | 1.4.0 | 按一下 | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.2 | 色彩繽紛 | 0.5.6 |
| 通訊 | 0.1.2 | 糖果 | 0.1.4 | configparser | 5.2.0 |
| contourpy | 1.0.5 | 密碼編譯 | 41.0.3 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | 英安岩 | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.5.0 | databricks-sdk | 0.20.0 |
| dataclasses-json | 0.6.6 | datasets | 2.19.1 | dbl-tempo | 0.1.26 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.14.0 | defusedxml | 0.7.1 | dill | 0.3.6 |
| diskcache | 5.6.3 | distlib | 0.3.8 | dm-tree | 0.1.8 |
| entrypoints | 0.4 | evaluate | 0.4.2 | 執行 | 0.8.3 |
| facets-overview | 1.1.1 | Farama-Notifications | 0.0.4 | fastjsonschema | 2.19.1 |
| fasttext | 0.9.2 | filelock | 3.13.4 | Flask | 2.2.5 |
| flatbuffers | 24.3.25 | fonttools | 4.25.0 | frozenlist | 1.3.3 |
| fsspec | 2023.5.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.27 | google-api-core | 2.18.0 |
| 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 | 1.5.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.7.0 | googleapis-common-protos | 1.63.0 | greenlet | 2.0.1 |
| grpcio | 1.60.0 | grpcio-status | 1.60.0 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | 體育館 | 0.28.1 | h11 | 0.14.0 |
| h5py | 3.10.0 | hjson | 3.1.0 | 假日 | 0.45 |
| horovod | 0.28.1+db1 | htmlmin | 0.1.12 | httpcore | 1.0.5 |
| httplib2 | 0.20.2 | httpx | 0.27.0 | huggingface-hub | 0.21.2 |
| idna | 3.4 | ImageHash | 4.3.1 | imageio | 2.31.1 |
| 不平衡學習 | 0.11.0 | importlib-metadata | 6.0.0 | importlib_resources | 6.4.0 |
| ipyflow-core | 0.0.198 | ipykernel | 6.25.1 | ipython | 8.15.0 |
| ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 | isodate | 0.6.1 |
| itsdangerous | 2.0.1 | jax-jumpy | 1.0.0 | 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-server | 1.23.4 |
| jupyter_client | 7.4.9 | jupyter_core | 5.3.0 | jupyterlab-pygments | 0.1.2 |
| keras | 3.1.1 | keyring | 23.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.1.20 | langchain-community | 0.0.38 | langchain-core | 0.1.52 |
| langchain-text-splitters | 0.0.2 | langcodes | 3.4.0 | langsmith | 0.1.63 |
| language_data | 1.2.0 | launchpadlib | 1.10.16 | lazr.restfulclient | 0.14.4 |
| lazr.uri | 1.0.6 | lazy_loader | 0.2 | libclang | 15.0.6.1 |
| librosa | 0.10.1 | lightgbm | 4.3.0 | linkify-it-py | 2.0.0 |
| llvmlite | 0.40.0 | lxml | 4.9.2 | lz4 | 4.3.2 |
| Mako | 1.2.0 | marisa-trie | 1.1.1 | Markdown | 3.4.1 |
| Markdown-it-py | 2.2.0 | MarkupSafe | 2.1.1 | 棉花 | 3.21.2 |
| matplotlib | 3.7.2 | matplotlib-inline | 0.1.6 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.12.0 | mistune | 0.8.4 |
| ml-dtypes | 0.3.2 | mlflow-skinny | 2.11.3 | more-itertools | 8.10.0 |
| 馬賽克ml-streaming | 0.7.4 | mpmath | 1.3.0 | msal | 1.28.0 |
| msal-extensions | 1.1.0 | msgpack | 1.0.8 | multidict | 6.0.2 |
| multimethod | 1.11.2 | multiprocess | 0.70.14 | murmurhash | 1.0.10 |
| mypy-extensions | 0.4.3 | namex | 0.0.8 | nbclassic | 0.5.5 |
| nbclient | 0.5.13 | nbconvert | 6.5.4 | nbformat | 5.7.0 |
| nest-asyncio | 1.5.6 | networkx | 3.1 | ninja | 1.11.1.1 |
| nltk | 3.8.1 | notebook | 6.5.4 | notebook_shim | 0.2.2 |
| numba | 0.57.1 | numpy | 1.23.5 | oauthlib | 3.2.0 |
| oci | 2.126.4 | openai | 1.29.0 | opencensus | 0.11.4 |
| opencensus-context | 0.1.3 | opt-einsum | 3.3.0 | optree | 0.11.0 |
| orjson | 3.10.3 | 封裝 | 23.2 | pandas | 1.5.3 |
| pandocfilters | 1.5.0 | paramiko | 3.4.0 | 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 | 23.2.1 | platformdirs | 3.10.0 |
| plotly | 5.9.0 | pmdarima | 2.0.4 | pooch | 1.8.1 |
| portalocker | 2.8.2 | preshed | 3.0.9 | prometheus-client | 0.14.1 |
| prompt-toolkit | 3.0.36 | prophet | 1.1.5 | proto-plus | 1.23.0 |
| protobuf | 4.24.1 | psutil | 5.9.0 | psycopg2 | 2.9.3 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | py-cpuinfo | 8.0.0 |
| py-spy | 0.3.14 | pyarrow | 14.0.1 | pyarrow-Hotfix | 0.6 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pybind11 | 2.12.0 |
| pyccolo | 0.0.52 | pycparser | 2.21 | pydantic | 1.10.6 |
| Pygments | 2.15.1 | PyGObject | 3.42.1 | PyJWT | 2.3.0 |
| PyNaCl | 1.5.0 | pynvml | 11.5.0 | pyodbc | 4.0.38 |
| pyOpenSSL | 23.2.0 | pyparsing | 3.0.9 | 火熱 | 0.18.0 |
| pytesseract | 0.3.10 | python-dateutil | 2.8.2 | python-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.1.1 | python-snappy | 0.6.1 | pytz | 2022.7 |
| PyWavelets | 1.4.1 | PyYAML | 6.0 | pyzmq | 23.2.0 |
| 射線 | 2.12.0 | RegEx | 2022.7.9 | requests | 2.31.0 |
| requests-oauthlib | 1.3.1 | rich | 13.7.1 | rsa | 4.9 |
| s3transfer | 0.10.1 | safetensors | 0.4.2 | scikit-image | 0.20.0 |
| scikit-learn | 1.3.0 | scipy | 1.11.1 | seaborn | 0.12.2 |
| SecretStorage | 3.3.1 | Send2Trash | 1.8.0 | 句子轉換器 | 2.7.0 |
| sentencepiece | 0.1.99 | setuptools | 68.0.0 | shap | 0.44.0 |
| simplejson | 3.17.6 | 六次 | 1.16.0 | slicer | 0.0.7 |
| smart-open | 5.2.1 | smmap | 5.0.0 | sniffio | 1.2.0 |
| soundfile | 0.12.1 | soupsieve | 2.4 | 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 | 0.5.0 | statsmodels | 0.14.0 | sympy | 1.11.1 |
| tangled-up-in-unicode | 0.2.0 | tenacity | 8.2.2 | tensorboard | 2.16.2 |
| tensorboard-data-server | 0.7.2 | tensorboard_plugin_profile | 2.15.1 | tensorboardX | 2.6.2.2 |
| tensorflow | 2.16.1 | tensorflow-estimator | 2.15.0 | tensorflow-io-gcs-filesystem | 0.37.0 |
| termcolor | 2.4.0 | terminado | 0.17.1 | 文本 | 0.63.3 |
| tf_keras | 2.16.0 | thinc | 8.2.3 | threadpoolctl | 2.2.0 |
| tifffile | 2021.7.2 | tiktoken | 0.5.2 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | tokenizers | 0.19.0 | 炬 | 2.3.0+cpu |
| torcheval | 0.0.7 | torchvision | 0.18.0+cpu | tornado | 6.3.2 |
| tqdm | 4.65.0 | traitlets | 5.7.1 | 變形金剛 | 4.40.2 |
| typeguard | 2.13.3 | typer | 0.9.4 | typing-inspect | 0.9.0 |
| typing_extensions | 4.10.0 | tzdata | 2022.1 | uc-micro-py | 1.0.1 |
| ujson | 5.4.0 | 自動升級 | 0.1 | urllib3 | 1.26.16 |
| virtualenv | 20.24.2 | 願景 | 0.7.5 | wadllib | 1.3.6 |
| 芥末 | 1.1.2 | wcwidth | 0.2.5 | 黃鼠狼 | 0.3.4 |
| webencodings | 0.5.1 | websocket-client | 0.58.0 | Werkzeug | 2.2.3 |
| wheel | 0.38.4 | wordcloud | 1.9.3 | wrapt | 1.14.1 |
| xgboost | 2.0.3 | xxhash | 3.4.1 | yarl | 1.8.1 |
| ydata 分析 | 4.5.1 | zipp | 3.11.0 | zstd | 1.5.5.1 |
GPU 叢集上的 Python 連結庫
| 程式庫 | 版本 | 程式庫 | 版本 | 程式庫 | 版本 |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | 加速 | 0.30.1 | aiohttp | 3.8.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | anyio | 3.5.0 |
| 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 | 4.0.2 |
| attrs | 22.1.0 | audioread | 3.0.1 | azure-core | 1.30.1 |
| azure-cosmos | 4.3.1 | azure-identity | 1.16.0 | azure-storage-blob | 12.19.1 |
| azure-storage-file-datalake | 12.14.0 | backcall | 0.2.0 | bcrypt | 3.2.0 |
| beautifulsoup4 | 4.12.2 | black | 23.3.0 | bleach | 4.1.0 |
| blinker | 1.4 | 幸福 | 0.7.11 | boto3 | 1.34.39 |
| botocore | 1.34.39 | Brotli | 1.0.9 | cachetools | 5.3.3 |
| 目錄 | 2.0.10 | category-encoders | 2.6.3 | certifi | 2023.7.22 |
| cffi | 1.15.1 | chardet | 4.0.0 | charset-normalizer | 2.0.4 |
| circuitbreaker | 1.4.0 | 按一下 | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.2 | 色彩繽紛 | 0.5.6 |
| 通訊 | 0.1.2 | 糖果 | 0.1.4 | configparser | 5.2.0 |
| contourpy | 1.0.5 | 密碼編譯 | 41.0.3 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | 英安岩 | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.5.0 | databricks-sdk | 0.20.0 |
| dataclasses-json | 0.6.6 | datasets | 2.19.1 | dbl-tempo | 0.1.26 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.14.0 | defusedxml | 0.7.1 | dill | 0.3.6 |
| diskcache | 5.6.3 | distlib | 0.3.8 | dm-tree | 0.1.8 |
| einops | 0.8.0 | entrypoints | 0.4 | evaluate | 0.4.2 |
| 執行 | 0.8.3 | facets-overview | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastjsonschema | 2.19.1 | fasttext | 0.9.2 | filelock | 3.13.4 |
| flash-attn | 2.5.8 | Flask | 2.2.5 | flatbuffers | 24.3.25 |
| fonttools | 4.25.0 | frozenlist | 1.3.3 | fsspec | 2023.5.0 |
| future | 0.18.3 | gast | 0.4.0 | gitdb | 4.0.11 |
| GitPython | 3.1.27 | google-api-core | 2.18.0 | 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 | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.7.0 |
| googleapis-common-protos | 1.63.0 | greenlet | 2.0.1 | grpcio | 1.60.0 |
| grpcio-status | 1.60.0 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
| 體育館 | 0.28.1 | h11 | 0.14.0 | h5py | 3.10.0 |
| hjson | 3.1.0 | 假日 | 0.45 | horovod | 0.28.1+db1 |
| htmlmin | 0.1.12 | httpcore | 1.0.5 | httplib2 | 0.20.2 |
| httpx | 0.27.0 | huggingface-hub | 0.21.2 | idna | 3.4 |
| ImageHash | 4.3.1 | imageio | 2.31.1 | 不平衡學習 | 0.11.0 |
| importlib-metadata | 6.0.0 | importlib_resources | 6.4.0 | ipyflow-core | 0.0.198 |
| ipykernel | 6.25.1 | ipython | 8.15.0 | ipython-genutils | 0.2.0 |
| ipywidgets | 7.7.2 | isodate | 0.6.1 | itsdangerous | 2.0.1 |
| jax-jumpy | 1.0.0 | 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-server | 1.23.4 | jupyter_client | 7.4.9 |
| jupyter_core | 5.3.0 | jupyterlab-pygments | 0.1.2 | keras | 3.1.1 |
| keyring | 23.5.0 | kiwisolver | 1.4.4 | langchain | 0.1.20 |
| langchain-community | 0.0.38 | langchain-core | 0.1.52 | langchain-text-splitters | 0.0.2 |
| langcodes | 3.4.0 | langsmith | 0.1.63 | language_data | 1.2.0 |
| launchpadlib | 1.10.16 | lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 |
| lazy_loader | 0.2 | libclang | 15.0.6.1 | librosa | 0.10.1 |
| lightgbm | 4.3.0 | linkify-it-py | 2.0.0 | llvmlite | 0.40.0 |
| lxml | 4.9.2 | lz4 | 4.3.2 | Mako | 1.2.0 |
| marisa-trie | 1.1.1 | Markdown | 3.4.1 | Markdown-it-py | 2.2.0 |
| MarkupSafe | 2.1.1 | 棉花 | 3.21.2 | matplotlib | 3.7.2 |
| matplotlib-inline | 0.1.6 | mdit-py-plugins | 0.3.0 | mdurl | 0.1.0 |
| memray | 1.12.0 | mistune | 0.8.4 | ml-dtypes | 0.3.2 |
| mlflow-skinny | 2.11.3 | more-itertools | 8.10.0 | 馬賽克ml-streaming | 0.7.4 |
| mpmath | 1.3.0 | msal | 1.28.0 | msal-extensions | 1.1.0 |
| msgpack | 1.0.8 | multidict | 6.0.2 | multimethod | 1.11.2 |
| multiprocess | 0.70.14 | murmurhash | 1.0.10 | mypy-extensions | 0.4.3 |
| namex | 0.0.8 | nbclassic | 0.5.5 | nbclient | 0.5.13 |
| nbconvert | 6.5.4 | nbformat | 5.7.0 | nest-asyncio | 1.5.6 |
| networkx | 3.1 | ninja | 1.11.1.1 | nltk | 3.8.1 |
| notebook | 6.5.4 | notebook_shim | 0.2.2 | numba | 0.57.1 |
| numpy | 1.23.5 | nvidia-cublas-cu12 | 12.1.3.1 | nvidia-cuda-cupti-cu12 | 12.1.105 |
| nvidia-cuda-nvrtc-cu12 | 12.1.105 | nvidia-cuda-runtime-cu12 | 12.1.105 | nvidia-cudnn-cu12 | 8.9.2.26 |
| nvidia-cufft-cu12 | 11.0.2.54 | nvidia-curand-cu12 | 10.3.2.106 | nvidia-cusolver-cu12 | 11.4.5.107 |
| nvidia-cusparse-cu12 | 12.1.0.106 | nvidia-nccl-cu12 | 2.20.5 | nvidia-nvjitlink-cu12 | 12.5.40 |
| nvidia-nvtx-cu12 | 12.1.105 | oauthlib | 3.2.0 | oci | 2.126.4 |
| openai | 1.29.0 | opencensus | 0.11.4 | opencensus-context | 0.1.3 |
| opt-einsum | 3.3.0 | optree | 0.11.0 | orjson | 3.10.3 |
| 封裝 | 23.2 | pandas | 1.5.3 | pandocfilters | 1.5.0 |
| paramiko | 3.4.0 | 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 | 23.2.1 | platformdirs | 3.10.0 | plotly | 5.9.0 |
| pmdarima | 2.0.4 | pooch | 1.8.1 | portalocker | 2.8.2 |
| preshed | 3.0.9 | prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 |
| prophet | 1.1.5 | proto-plus | 1.23.0 | protobuf | 4.24.1 |
| psutil | 5.9.0 | psycopg2 | 2.9.3 | ptyprocess | 0.7.0 |
| pure-eval | 0.2.2 | py-cpuinfo | 8.0.0 | py-spy | 0.3.14 |
| pyarrow | 14.0.1 | pyarrow-Hotfix | 0.6 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.12.0 | pyccolo | 0.0.52 |
| pycparser | 2.21 | pydantic | 1.10.6 | Pygments | 2.15.1 |
| PyGObject | 3.42.1 | PyJWT | 2.3.0 | PyNaCl | 1.5.0 |
| pynvml | 11.5.0 | pyodbc | 4.0.38 | pyOpenSSL | 23.2.0 |
| pyparsing | 3.0.9 | 火熱 | 0.18.0 | pytesseract | 0.3.10 |
| python-dateutil | 2.8.2 | python-editor | 1.0.4 | python-lsp-jsonrpc | 1.1.1 |
| python-snappy | 0.6.1 | pytz | 2022.7 | PyWavelets | 1.4.1 |
| PyYAML | 6.0 | pyzmq | 23.2.0 | 射線 | 2.12.0 |
| RegEx | 2022.7.9 | requests | 2.31.0 | requests-oauthlib | 1.3.1 |
| rich | 13.7.1 | rsa | 4.9 | s3transfer | 0.10.1 |
| safetensors | 0.4.2 | scikit-image | 0.20.0 | scikit-learn | 1.3.0 |
| scipy | 1.11.1 | seaborn | 0.12.2 | SecretStorage | 3.3.1 |
| Send2Trash | 1.8.0 | 句子轉換器 | 2.7.0 | sentencepiece | 0.1.99 |
| setuptools | 68.0.0 | shap | 0.44.0 | simplejson | 3.17.6 |
| 六次 | 1.16.0 | slicer | 0.0.7 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.2.0 | soundfile | 0.12.1 |
| soupsieve | 2.4 | 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 | 0.5.0 |
| statsmodels | 0.14.0 | sympy | 1.11.1 | tangled-up-in-unicode | 0.2.0 |
| tenacity | 8.2.2 | tensorboard | 2.16.2 | tensorboard-data-server | 0.7.2 |
| tensorboard_plugin_profile | 2.15.1 | tensorboardX | 2.6.2.2 | tensorflow | 2.16.1 |
| tensorflow-estimator | 2.15.0 | tensorflow-io-gcs-filesystem | 0.37.0 | termcolor | 2.4.0 |
| terminado | 0.17.1 | 文本 | 0.63.3 | tf_keras | 2.16.0 |
| thinc | 8.2.3 | threadpoolctl | 2.2.0 | tifffile | 2021.7.2 |
| tiktoken | 0.5.2 | tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 |
| tokenizers | 0.19.0 | 炬 | 2.3.0+cu121 | torcheval | 0.0.7 |
| torchvision | 0.18.0+cu121 | tornado | 6.3.2 | tqdm | 4.65.0 |
| traitlets | 5.7.1 | 變形金剛 | 4.40.2 | 氚核 | 2.3.0 |
| typeguard | 2.13.3 | typer | 0.9.4 | typing-inspect | 0.9.0 |
| typing_extensions | 4.10.0 | tzdata | 2022.1 | uc-micro-py | 1.0.1 |
| ujson | 5.4.0 | 自動升級 | 0.1 | urllib3 | 1.26.16 |
| virtualenv | 20.24.2 | 願景 | 0.7.5 | wadllib | 1.3.6 |
| 芥末 | 1.1.2 | wcwidth | 0.2.5 | 黃鼠狼 | 0.3.4 |
| webencodings | 0.5.1 | websocket-client | 0.58.0 | Werkzeug | 2.2.3 |
| wheel | 0.38.4 | wordcloud | 1.9.3 | wrapt | 1.14.1 |
| xgboost | 2.0.3 | xxhash | 3.4.1 | yarl | 1.8.1 |
| ydata 分析 | 4.5.1 | zipp | 3.11.0 | zstd | 1.5.5.1 |
R 程式庫
R 連結庫與 Databricks Runtime 15.3 中的 R 連結庫 相同。
Java 和 Scala 連結庫 （Scala 2.12 叢集）
除了 Databricks Runtime 15.3 中的 Java 和 Scala 連結庫之外，Databricks Runtime 15.3 ML 還包含下列 JAR：
CPU 叢集
| 群組識別碼 | 成品標識碼 | 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 | 0.8.3-db1-spark3.5 |
| org.mlflow | mlflow-client | 2.11.1 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
GPU 叢集
| 群組識別碼 | 成品標識碼 | 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 | 0.8.3-db1-spark3.5 |
| org.mlflow | mlflow-client | 2.11.1 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
意見反映
即將推出：我們會在 2024 年淘汰 GitHub 問題，並以全新的意見反應系統取代並作為內容意見反應的渠道。 如需更多資訊，請參閱：https://aka.ms/ContentUserFeedback。
提交及檢視以下的意見反映：