Databricks Runtime 16.1 pro Machine Learning
Databricks Runtime 16.1 pro strojové učení poskytuje připravenéto-go prostředí pro strojové učení a data science založené na Databricks Runtime 16.1. Databricks Runtime ML obsahuje mnoho oblíbených knihoven strojového učení, včetně TensorFlow, PyTorch a XGBoost. Databricks Runtime ML zahrnuje AutoML , nástroj pro automatické trénování kanálů strojového učení. Databricks Runtime ML také podporuje distribuované trénování hlubokého učení pomocí TorchDistributor, DeepSpeed a Ray.
Spropitné
Chcete-li zobrazit poznámky k vydání pro verze Databricks Runtime, které dosáhly konce podpory (EoS), podívejte se na poznámky k vydání Databricks Runtime pro ukončenou podporu. Verze EoS Databricks Runtime byly vyřazeny a nemusí se aktualizovat.
Nové funkce a vylepšení
Databricks Runtime 16.1 ML je postaven na Databricks Runtime 16.1. Informace o novinkách v Databricks Runtime 16.1, včetně knihovny Apache Spark MLlib a SparkR, najdete v poznámkách k vydání Databricks Runtime 16.1.
Systémové prostředí
Systémové prostředí v Databricks Runtime 16.1 ML se liší od Databricks Runtime 16.1 následujícím způsobem.
- Pro clustery GPU zahrnuje Databricks Runtime ML následující knihovny NVIDIA GPU:
- 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
Knihovny
Následující části list knihovny zahrnuté v Databricks Runtime 16.1 ML, které se liší od knihoven zahrnutých v Databricks Runtime 16.1.
V této části:
- knihovny nejvyšší úrovně
- knihovny Pythonu
- knihovny jazyka R
- knihovny Java a Scala (klastr Scala 2.12)
Knihovny nejvyšší úrovně
Databricks Runtime 16.1 ML obsahuje následující knihovny nejvyšší úrovně:
- datových sad
-
GraphFrames - MLflow
- PyTorch
- konektor Spark TensorFlow
- Scikit-learn
- streamování
- TensorFlow
- TensorBoard
- transformátory
Knihovny Pythonu
Databricks Runtime 16.1 ML používá virtualenv pro správu balíčků Pythonu a obsahuje mnoho oblíbených balíčků ML.
Kromě balíčků uvedených v následujících částech obsahuje Databricks Runtime 16.1 ML také následující balíčky:
- hyperopt 0.2.9+db5
- automl 1.29.0
Pokud chcete reprodukovat prostředí Databricks Runtime ML Python v místním virtuálním prostředí Pythonu, stáhněte si soubor requirements-16.1.txt a spusťte pip install -r requirements-16.1.txt. Tento příkaz nainstaluje všechny opensourcové knihovny, které databricks Runtime ML používá, ale neinstaluje knihovny vyvinuté službou Databricks, jako jsou databricks-automl, databricks-feature-engineeringnebo fork databricks hyperopt.
Knihovny Pythonu v clusterech procesorů
| Knihovna | Verze | Knihovna | Verze | Knihovna | Verze |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | zrychlit | 1.1.1 | aiohttp | 3.9.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | alembik | 1.13.3 |
| anotované typy | 0.7.0 | anyio | 4.2.0 | argcomplete | 3.5.0 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | šíp | 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 |
| automatické příkazy | 2.2.2 | Azure-Core | 1.31.0 | azure-cosmos | 4.3.1 |
| azure-identity | 1.18.0 | úložiště Azure Blob | 12.23.1 | azure-storage-file-datalake | 12.17.0 |
| Babylón | 2.11.0 | ustoupení | 2.2.1 | backports.tarfile | 1.2.0 |
| bcrypt | 3.2.0 | beautifulsoup4 | 4.12.3 | černý | 24.4.2 |
| bělidlo | 4.1.0 | blinkr | 1.7.0 | blaženost | 0.7.11 |
| boto3 | 1.34.69 | botocore | 1.34.69 | Brotli | 1.0.9 |
| cachetools | 5.3.3 | katalog | 2.0.10 | kodéry kategorií | 2.6.3 |
| certifikát | 2024.6.2 | cffi | 1.16.0 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | jistič | 2.0.0 | kliknout | 8.1.7 |
| cloudpathlib | 0.19.0 | cloudpickle | 2.2.1 | cmdstanpy | 1.2.4 |
| barevný | 0.5.6 | colorlog | 6.8.2 | Komunikace | 0.2.1 |
| skladatel | 0.27.0 | cukroví | 0.1.5 | configparser | 5.2.0 |
| ContourPy | 1.2.0 | coolname | 2.2.0 | kryptografie | 42.0.5 |
| cyklista | 0.11.0 | cymem | 2.0.10 | Cython | 3.0.11 |
| dacit | 1.8.1 | databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.7.0 |
| Databricks SDK | 0.30.0 | Datové sady | 3.1.0 | dbl-tempo | 0.1.26 |
| dbus-python | 1.3.2 | debugpy | 1.6.7 | dekoratér | 5.1.1 |
| deepspeed | 0.16.0 | defusedxml | 0.7.1 | Zavrhovaný | 1.2.14 |
| kopr | 0.3.8 | distlib | 0.3.8 | dm-tree | 0.1.8 |
| docstring-to-markdown | 0.11 | vstupní body | 0.4 | hodnotit | 0.4.3 |
| vykonávání | 0.8.3 | přehled aspektů | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastjsonschema | 2.21.1 | fasttext-wheel | 0.9.2 | uzamčení souboru | 3.13.1 |
| Baňka | 2.2.5 | flatbuffers | 24.3.25 | fonttools | 4.51.0 |
| FQDN | 1.5.1 | zmrazený seznam | 1.4.0 | fsspec | 2023.5.0 |
| budoucnost | 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 | tělocvična | 0.28.1 |
| h11 | 0.14.0 | h5py | 3.11.0 | hjson | 3.1.0 |
| prázdniny | 0.54 | htmlmin | 0.1.12 | httpcore | 1.0.5 |
| httplib2 | 0.20.4 | httpx | 0.28.0 | huggingface-hub | 0.24.5 |
| IDNA | 3.7 | ImageHash | 4.3.1 | imageio | 2.33.1 |
| nevyvážené učení | 0.12.3 | importlib-metadata | 6.0.0 | importlib_resources | 6.4.5 |
| skloňovat | 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 | je to nebezpečné | 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 | 0.8.0 | 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 | 3.6.0 | kiwisolver | 1.4.4 | langchain | 0.3.8 |
| langchain-core | 0.2.41 | langchain-dělitelé-textu | 0.2.4 | kódy jazyků | 3.4.1 |
| langsmith | 0.1.129 | jazyková_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 |
| bleskové nástroje | 0.11.9 | linkify –it-py | 2.0.0 | llvmlite | 0.42.0 |
| lz4 | 4.3.2 | Žralok 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 |
| špatně naladit | 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 | 1.31.1 | msal-extensions | 1.2.0 |
| msgpack | 1.1.0 | multidict | 6.0.4 | multimetoda | 1.12 |
| víceprocesový | 0.70.16 | murmurhash | 1.0.11 | 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 | zápisník | 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 | 2.139.0 | openai | 1.55.1 |
| opencensus | 0.11.4 | opencensus-context | 0.1.3 | opentelemetry-api | 1.28.2 |
| opentelemetry-sdk | 1.28.2 | opentelemetry-sémantické-konvence | 0,49b2 | opt_einsum | 3.4.0 |
| optree | 0.12.1 | optuna | 3.6.1 | optuna-integration | 3.6.0 |
| orjson | 3.10.12 | potlačuje | 7.4.0 | balení | 24.1 |
| Pandy | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 3.4.0 |
| parso | 0.8.3 | pathspec | 0.10.3 | bábovka | 0.5.6 |
| pexpect | 4.8.0 | Phik | 0.12.4 | polštář | 10.3.0 |
| pip | 24.2 | platformdirs | 3.10.0 | plotly | 5.22.0 |
| pluggy | 1.0.0 | pmdarima | 2.0.4 | psisko | 1.8.2 |
| portalocker | 2.10.1 | předběžně připravený | 3.0.9 | prometheus-client | 0.14.1 |
| prompt-toolkit | 3.0.43 | prorok | 1.1.5 | proto-plus | 1.24.0 |
| protobuf | 4.24.1 | psutil | 5.9.0 | psycopg2 | 2.9.3 |
| ptyprocess | 0.7.0 | čistý-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 | dotazník | 1.10.0 |
| paprsek | 2.35.0 | referencování | 0.30.2 | regex | 2023.10.3 |
| žádosti | 2.32.2 | requests-oauthlib | 1.3.1 | rfc3339-validator | 0.1.4 |
| rfc3986-validator | 0.1.1 | bohatý | 13.3.5 | lano | 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 | 3.3.1 |
| věta | 0.2.0 | setuptools | 74.0.0 | tvar | 0.46.0 |
| shellingham | 1.5.4 | simplejson | 3.17.6 | Šest | 1.16.0 |
| kráječ | 0.0.8 | inteligentní otevření | 5.2.1 | smmap | 5.0.0 |
| sniffio | 1.3.0 | zvukový soubor | 0.12.1 | síto na polévku | 2.5 |
| soxr | 0.5.0.post1 | prostorný | 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 | 1.13.1 |
| sestavit v tabulku | 0.9.0 | tangled-up-in-unicode | 0.2.0 | houževnatost | 8.2.2 |
| tensorboard | 2.18.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.18.0 |
| tensorboardX | 2.6.2.2 | tensorflow | 2.18.0 | tensorflow-estimator | 2.15.0 |
| termcolor | 2.4.0 | dokončený | 0.17.1 | textový | 0.87.1 |
| tf_keras | 2.18.0 | tenká | 8.2.5 | threadpoolctl | 2.2.0 |
| tifffile | 2023.4.12 | tiktoken | 0.7.0 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | tokenizátory | 0.20.0 | tomli | 2.0.1 |
| pochodeň | 2.5.0+cpu | torch-optimizer | 0.3.0 | torcheval | 0.0.7 |
| metriky | 1.4.0.post0 | torchvision | 0.20.0+cpu | tornádo | 6.4.1 |
| tqdm | 4.66.4 | traitlets | 5.14.3 | Transformátory | 4.46.3 |
| 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 |
| typy-žádostí | 2.31.0.0 | types-setuptools | 68.0.0.0 | typy-šest | 1.16.0 |
| types-urllib3 | 1.26.25.14 | typing_extensions | 4.11.0 | uc-micro-py | 1.0.1 |
| ujson | 5.10.0 | automatické aktualizace | 0.1 | uri-template | 1.3.0 |
| urllib3 | 1.26.16 | validátory | 0.34.0 | virtualenv | 20.26.2 |
| vize | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.3 |
| wcwidth | 0.2.5 | lasice | 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 | kolo | 0.43.0 |
| wordcloud | 1.9.3 | zabalený | 1.14.1 | xgboost | 2.0.3 |
| xgboost-ray | 0.1.19 | xxhash | 3.4.1 | yapf | 0.33.0 |
| yarl | 1.9.3 | Profilace ydata | 4.9.0 | zipp | 3.17.0 |
| zstd | 1.5.5.1 |
Knihovny Pythonu v clusterech GPU
Poznámka
PyTorch využívá závislosti CUDA PyPI k poskytování podpory CUDA místo verzí knihoven CUDA, které jsou integrované v Databricks Runtime 16.1 ML.
| Knihovna | Verze | Knihovna | Verze | Knihovna | Verze |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | zrychlit | 1.1.1 | aiohttp | 3.9.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | anotované typy | 0.7.0 |
| anyio | 4.2.0 | argcomplete | 3.5.0 | argon2-cffi | 21.3.0 |
| argon2-cffi-bindings | 21.2.0 | šíp | 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 | automatické příkazy | 2.2.2 |
| Azure-Core | 1.31.0 | azure-cosmos | 4.3.1 | azure-identity | 1.18.0 |
| úložiště Azure Blob | 12.23.1 | azure-storage-file-datalake | 12.17.0 | Babylón | 2.11.0 |
| ustoupení | 2.2.1 | backports.tarfile | 1.2.0 | bcrypt | 3.2.0 |
| beautifulsoup4 | 4.12.3 | černý | 24.4.2 | bělidlo | 4.1.0 |
| blinkr | 1.7.0 | blaženost | 0.7.11 | boto3 | 1.34.69 |
| botocore | 1.34.69 | Brotli | 1.0.9 | cachetools | 5.3.3 |
| katalog | 2.0.10 | kodéry kategorií | 2.6.3 | certifikát | 2024.6.2 |
| cffi | 1.16.0 | chardet | 4.0.0 | charset-normalizer | 2.0.4 |
| jistič | 2.0.0 | kliknout | 8.1.7 | cloudpathlib | 0.19.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.4 | barevný | 0.5.6 |
| colorlog | 6.8.2 | Komunikace | 0.2.1 | skladatel | 0.27.0 |
| cukroví | 0.1.5 | configparser | 5.2.0 | ContourPy | 1.2.0 |
| coolname | 2.2.0 | kryptografie | 42.0.5 | cyklista | 0.11.0 |
| cymem | 2.0.10 | Cython | 3.0.11 | dacit | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.7.0 | Databricks SDK | 0.30.0 |
| Datové sady | 3.1.0 | dbl-tempo | 0.1.26 | dbus-python | 1.3.2 |
| debugpy | 1.6.7 | dekoratér | 5.1.1 | deepspeed | 0.16.0 |
| defusedxml | 0.7.1 | Zavrhovaný | 1.2.14 | kopr | 0.3.8 |
| distlib | 0.3.8 | dm-tree | 0.1.8 | docstring-to-markdown | 0.11 |
| einops | 0.8.0 | vstupní body | 0.4 | hodnotit | 0.4.3 |
| vykonávání | 0.8.3 | přehled aspektů | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastjsonschema | 2.21.1 | fasttext-wheel | 0.9.2 | uzamčení souboru | 3.13.1 |
| flash_attn | 2.7.0 | Baňka | 2.2.5 | flatbuffers | 24.3.25 |
| fonttools | 4.51.0 | FQDN | 1.5.1 | zmrazený seznam | 1.4.0 |
| fsspec | 2023.5.0 | budoucnost | 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 |
| tělocvična | 0.28.1 | h11 | 0.14.0 | h5py | 3.11.0 |
| hjson | 3.1.0 | prázdniny | 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 | nevyvážené učení | 0.12.3 | importlib-metadata | 6.0.0 |
| importlib_resources | 6.4.5 | skloňovat | 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 |
| je to nebezpečné | 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 | 0.8.0 | 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 | 3.6.0 | kiwisolver | 1.4.4 |
| langchain | 0.3.8 | langchain-core | 0.2.41 | langchain-dělitelé-textu | 0.2.4 |
| kódy jazyků | 3.4.1 | langsmith | 0.1.129 | jazyková_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 | bleskové nástroje | 0.11.9 | linkify –it-py | 2.0.0 |
| llvmlite | 0.42.0 | lz4 | 4.3.2 | Žralok 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 | špatně naladit | 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 | 1.31.1 |
| msal-extensions | 1.2.0 | msgpack | 1.1.0 | multidict | 6.0.4 |
| multimetoda | 1.12 | víceprocesový | 0.70.16 | murmurhash | 1.0.11 |
| 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 | zápisník | 7.0.8 |
| notebook_shim | 0.2.3 | numba | 0.59.1 | numpy | 1.26.4 |
| nvidia-cublas-cu12 | 12.4.5.8 | nvidia-cuda-cupti-cu12 | 12.4.127 | nvidia-cuda-nvrtc-cu12 | 12.4.127 |
| nvidia-cuda-runtime-cu12 | 12.4.127 | nvidia-cudnn-cu12 | 9.1.0.70 | nvidia-cufft-cu12 | 11.2.1.3 |
| nvidia-curand-cu12 | 10.3.5.147 | nvidia-cusolver-cu12 | 11.6.1.9 | nvidia-cusparse-cu12 | 12.3.1.170 |
| nvidia-ml-py | 12.560.30 | nvidia-nccl-cu12 | 2.21.5 | nvidia-nvjitlink-cu12 | 12.4.127 |
| nvidia-nvtx-cu12 | 12.4.127 | oauthlib | 3.2.0 | oci | 2.139.0 |
| openai | 1.55.1 | opencensus | 0.11.4 | opencensus-context | 0.1.3 |
| opentelemetry-api | 1.28.2 | opentelemetry-sdk | 1.28.2 | opentelemetry-sémantické-konvence | 0,49b2 |
| opt_einsum | 3.4.0 | optree | 0.12.1 | optuna | 3.6.1 |
| optuna-integration | 3.6.0 | orjson | 3.10.12 | potlačuje | 7.4.0 |
| balení | 24.1 | Pandy | 1.5.3 | pandocfilters | 1.5.0 |
| paramiko | 3.4.0 | parso | 0.8.3 | pathspec | 0.10.3 |
| bábovka | 0.5.6 | pexpect | 4.8.0 | Phik | 0.12.4 |
| polštář | 10.3.0 | pip | 24.2 | platformdirs | 3.10.0 |
| plotly | 5.22.0 | pluggy | 1.0.0 | pmdarima | 2.0.4 |
| psisko | 1.8.2 | portalocker | 2.10.1 | předběžně připravený | 3.0.9 |
| prometheus-client | 0.14.1 | prompt-toolkit | 3.0.43 | prorok | 1.1.5 |
| proto-plus | 1.24.0 | protobuf | 4.24.1 | psutil | 5.9.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | čistý-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 |
| dotazník | 1.10.0 | paprsek | 2.35.0 | referencování | 0.30.2 |
| regex | 2023.10.3 | žádosti | 2.32.2 | requests-oauthlib | 1.3.1 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | bohatý | 13.3.5 |
| lano | 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 | 3.3.1 | věta | 0.2.0 | setuptools | 74.0.0 |
| tvar | 0.46.0 | shellingham | 1.5.4 | simplejson | 3.17.6 |
| Šest | 1.16.0 | kráječ | 0.0.8 | inteligentní otevření | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.3.0 | zvukový soubor | 0.12.1 |
| síto na polévku | 2.5 | soxr | 0.5.0.post1 | prostorný | 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 | 1.13.1 | sestavit v tabulku | 0.9.0 | tangled-up-in-unicode | 0.2.0 |
| houževnatost | 8.2.2 | tensorboard | 2.17.0 | tensorboard-data-server | 0.7.2 |
| tensorboard-plugin-profile | 2.18.0 | tensorboardX | 2.6.2.2 | tensorflow | 2.18.0 |
| tensorflow-estimator | 2.15.0 | termcolor | 2.4.0 | dokončený | 0.17.1 |
| textový | 0.87.1 | tf_keras | 2.17.0 | tenká | 8.2.5 |
| threadpoolctl | 2.2.0 | tifffile | 2023.4.12 | tiktoken | 0.7.0 |
| tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 | tokenizátory | 0.20.0 |
| tomli | 2.0.1 | pochodeň | 2.5.0+cu124 | torch-optimizer | 0.3.0 |
| torcheval | 0.0.7 | metriky | 1.4.0.post0 | torchvision | 0.20.0+cu124 |
| tornádo | 6.4.1 | tqdm | 4.66.4 | traitlets | 5.14.3 |
| Transformátory | 4.46.3 | Triton | 3.1.0 | typeguard | 4.3.0 |
| Typer | 0.14.0 | types-protobuf | 3.20.3 | types-psutil | 5.9.0 |
| types-pytz | 2023.3.1.1 | types-PyYAML | 6.0.0 | typy-žádostí | 2.31.0.0 |
| types-setuptools | 68.0.0.0 | typy-šest | 1.16.0 | types-urllib3 | 1.26.25.14 |
| typing_extensions | 4.11.0 | uc-micro-py | 1.0.1 | ujson | 5.10.0 |
| automatické aktualizace | 0.1 | uri-template | 1.3.0 | urllib3 | 1.26.16 |
| validátory | 0.34.0 | virtualenv | 20.26.2 | vize | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| lasice | 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 | kolo | 0.43.0 | wordcloud | 1.9.3 |
| zabalený | 1.14.1 | xgboost | 2.0.3 | xgboost-ray | 0.1.19 |
| xxhash | 3.4.1 | yapf | 0.33.0 | yarl | 1.9.3 |
| Profilace ydata | 4.9.0 | zipp | 3.17.0 | zstd | 1.5.5.1 |
Knihovny R
Knihovny jazyka R jsou identické s knihovnami R v Databricks Runtime 16.1.
Knihovny Java a Scala (cluster Scala 2.12)
Kromě knihoven Java a Scala v Databricks Runtime 16.1 obsahuje Databricks Runtime 16.1 ML následující jary:
Clustery procesorů
| ID skupiny | ID artefaktu | Verze |
|---|---|---|
| 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 |
Klastry GPU
| ID skupiny | ID artefaktu | Verze |
|---|---|---|
| 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 |