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Questa pagina è le note di rilascio unificate per Databricks Runtime 18 per Machine Learning. Consolida tutti gli aggiornamenti e i miglioramenti della libreria specifici di ML forniti in tutto il ciclo di rilascio di Databricks Runtime 18.
Databricks Runtime 18 ML si basa su Databricks Runtime 18. Per informazioni sulle novità di Databricks Runtime 18, tra cui Apache Spark MLlib e SparkR, vedere le note sulla versione di Databricks Runtime 18 (Beta).
Nuove funzionalità e miglioramenti
Gli aggiornamenti della libreria includono:
- Aggiornamento CUDA alla versione 12.9
- flash_attn 2.8.3
- keras 3.12.0
- langchain 1.0.3
- mlflow-skinny 3.8.1
- openai 2.7.0
- torch 2.9.0
- torchvision 0.24.0
- trasformatori 4.57.1
- Triton 3.5.0
- xgboost 3.1.1
Ambiente di sistema
L'ambiente di sistema in Databricks Runtime 18 ML differisce da Databricks Runtime 18 come indicato di seguito.
- Per i cluster GPU, Databricks Runtime ML include le librerie GPU NVIDIA seguenti:
- CUDA 12.9
- cublas 12.9.1.4-1
- cusolver 11.7.5.82
- cupti 12.9.79
- cusparse 12.5.10.65
- cuDNN 9.10.2.21
- NCCL 2.27.5
Librerie
Le sezioni seguenti elencano le librerie incluse in Databricks Runtime 18 ML che differiscono da quelle incluse in Databricks Runtime 18.
Librerie di livello superiore
Databricks Runtime 18 ML include le librerie di livello superiore seguenti:
librerie Python
Databricks Runtime 18 ML usa virtualenv per la gestione dei pacchetti Python e include molti pacchetti di Machine Learning più diffusi.
Per riprodurre l'ambiente Python ml di Databricks Runtime nell'ambiente virtuale Python locale, scaricare requirements-cpu-18.txt per cluster CPU o requirements-gpu-18.txt per i cluster GPU. Quindi eseguire pip install -r requirements-<cpu|gpu>-18.txt. Questo comando installa tutte le librerie open source usate da Databricks Runtime ML, ma non installa le librerie sviluppate da Databricks.
Librerie Python sui cluster CPU
| Libreria | Versione | Libreria | Versione | Libreria | Versione |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | accelerare | 1.11.0 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| Alambicco | 1.17.1 | documento annotato | 0.0.4 | annotated-types | 0.7.0 |
| anyio | 4.7.0 | argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 |
| arro3-core | 0.6.5 | arrow | 1.3.0 | asttokens | 3.0.0 |
| astunparse | 1.6.3 | async-lru | 2.0.4 | attrs | 24.3.0 |
| lettura audio | 3.1.0 | autocommand | 2.2.2 | azure-common | 1.1.28 |
| azure-core | 1.36.0 | 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 | 12.27.1 |
| file di archiviazione Azure Data Lake | 12.22.0 | babel | 2.16.0 | backports.tarfile | 1.2.0 |
| bcrypt | 4.3.0 | beautifulsoup4 | 4.12.3 | black | 24.10.0 |
| bleach | 6.2.0 | blinker | 1.7.0 | blis | 0.7.11 |
| boto3 | 1.40.45 | botocore | 1.40.45 | brotli | 1.2.0 |
| cachetools | 5.5.1 | catalogo | 2.0.10 | certifi | 2025.4.26 |
| cffi | 1.17.1 | chardet | 4.0.0 | charset-normalizer | 3.3.2 |
| interruttore | 2.1.3 | click | 8.1.8 | cloudpathlib | 0.23.0 |
| cloudpickle (libreria Python per la serializzazione degli oggetti) | 3.0.0 | cmdstanpy | 1.3.0 | colorato | 0.5.8 |
| registro dei colori | 6.10.1 | comm | 0.2.1 | preparazione | 0.1.5 |
| contourpy | 1.3.1 | cramjam | 2.11.0 | cryptography | 44.0.1 |
| cycler | 0.11.0 | cymem | 2.0.12 | Cython | 3.1.5 |
| roccia dacite | 1.9.2 | databricks-agents | 1.9.1 | ingegneria delle caratteristiche in Databricks | 0.13.0.1 |
| databricks-sdk | 0.67.0 | dataclasses-json | 0.6.7 | datasets | 4.3.0 |
| dbl-tempo | 0.1.26 | dbus-python | 1.3.2 | debugpy | 1.8.11 |
| decorator | 5.1.1 | deepspeed | 0.18.1 | defusedxml | 0.7.1 |
| deltalake | 1.1.4 | Deprecated | 1.2.18 | dill | 0.3.8 |
| distlib | 0.3.9 | dm-tree | 0.1.9 | docstring-to-markdown | 0.11 |
| einops | 0.8.1 | evaluate | 0.4.6 | executing | 1.2.0 |
| facets-overview | 1.1.1 | Notifiche di Farama | 0.0.4 | fastapi | 0.121.2 |
| fastjsonschema | 2.21.1 | filelock | 3.17.0 | tipo di file | 1.2.0 |
| Flask | 2.2.5 | FlatBuffers | 25.9.23 | fonttools | 4.55.3 |
| fqdn | 1.5.1 | frozenlist | 1.5.0 | fsspec | 2023.5.0 |
| gast | 0.6.0 | gitdb | 4.0.11 | GitPython | 3.1.43 |
| google-api-core | 2.28.1 | google-auth | 2.43.0 | google-cloud-core | 2.5.0 |
| google-cloud-storage | 3.2.0 | google-crc32c | 1.7.1 | Google-Pasta | 0.2.0 |
| google-resumable-media (media riprendibile di Google) | 2.7.2 | googleapis-common-protos | 1.65.0 | graphql-core | 3.2.4 |
| greenlet | 3.1.1 | grpcio | 1.67.0 | grpcio-status | 1.67.0 |
| ginnasio | 0.28.1 | h11 | 0.16.0 | h5py | 3.12.1 |
| hf-xet | 1.2.0 | hjson | 3.1.0 | festività | 0,54 |
| httpcore | 1.0.9 | httplib2 | 0.20.4 | httpx | 0.28.1 |
| huggingface-hub | 0.36.0 | IDNA | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.37.0 | imbalanced-learn (una libreria di apprendimento automatico per la gestione dei set di dati sbilanciati) | 0.13.0 | importlib_metadata | 8.5.0 |
| 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 | 0.7.2 |
| isoduration | 20.11.0 | it’s dangerous | 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 | 0.12.0 | 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 | 2023.7.1 |
| jupyter | 1.1.1 | jupyter-console | 6.6.3 | jupyter-events | 0.12.0 |
| jupyter-lsp | 2.2.5 | jupyter_client | 8.6.3 | jupyter_core | 5.7.2 |
| jupyter_server | 2.15.0 | jupyter_server_terminals | 0.5.3 | jupyterlab | 4.3.4 |
| jupyterlab_pygments | 0.3.0 | jupyterlab_server | 2.27.3 | jupyterlab_widgets | 1.1.11 |
| Keras | 3.12.0 | kiwisolver | 1.4.8 | langchain | 1.0.3 |
| langchain-core | 1.0.4 | langchain-openai | 1.0.2 | codici linguistici | 3.5.0 |
| langgraph | 1.0.3 | langgraph-checkpoint | 3.0.1 | langgraph-precostruito | 1.0.4 |
| langgraph-sdk | 0.2.9 | langsmith | 0.4.41 | dati linguistici | 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 | linkify-it-py | 2.0.0 | litellm | 1.75.9 |
| llvmlite | 0.44.0 | lz4 | 4.3.2 | Mako | 1.3.10 |
| marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
| MarkupSafe | 3.0.2 | zefiro | 3.26.1 | matplotlib | 3.10.0 |
| matplotlib-inline | 0.1.7 | mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.19.1 | minify_html | 0.18.1 |
| mistune | 3.1.2 | ml_dtypes | 0.5.3 | mlflow versione leggera | 3.8.1 |
| mmh3 | 5.2.0 | more-itertools | 10.3.0 | MosaicML-Streaming | 0.13.0 |
| mpmath | 1.3.0 | msal | 1.34.0 | msal-extensions | 1.3.1 |
| msgpack | 1.1.2 | multidict | 6.1.0 | multimetodo | 1.12 |
| multiprocesso | 0.70.16 | algoritmo di hashing murmurhash | 1.0.14 | mypy-extensions | 1.0.0 |
| namex | 0.1.0 | nbclient | 0.10.2 | nbconvert | 7.16.6 |
| nbformat | 5.10.4 | nest-asyncio | 1.6.0 | networkx | 3.4.2 |
| ninja | 1.13.0 | nltk (Natural Language Toolkit) | 3.9.1 | nodeenv | 1.9.1 |
| notebook | 7.3.2 | notebook_shim | 0.2.4 | numba | 0.61.0 |
| numpy | 2.1.3 | nvidia-nccl-cu12 | 2.28.7 | oauthlib | 3.2.0 |
| oci | 2.163.1 | OpenAI | 2.7.0 | opencensus | 0.11.4 |
| opencensus-context | 0.1.3 | opentelemetry-api | 1.38.0 | opentelemetry-proto | 1.38.0 |
| opentelemetry-sdk | 1.38.0 | opentelemetry-semantic-conventions | 0,59b0 | opt_einsum | 3.4.0 |
| optree | 0.17.0 | optuna | 3.6.1 | integrazione-optuna | 3.6.0 |
| orjson | 3.11.4 | ormsgpack | 1.12.0 | overrides | 7.4.0 |
| packaging | 24.2 | pandas | 2.2.3 | pandocfilters | 1.5.0 |
| paramiko | 3.5.1 | parso | 0.8.4 | pathspec | 0.10.3 |
| patsy | 1.0.1 | pexpect | 4.8.0 | phik | 0.12.5 |
| pillow | 11.1.0 | seme | 25.0.1 | platformdirs | 4.3.7 |
| plotly | 5.24.1 | pluggy | 1.5.0 | cagnolino | 1.8.2 |
| (Note: Without context, a definitive improved translation cannot be accurately proposed). | 3.0.11 | prometheus_client | 0.21.1 | prompt-toolkit | 3.0.43 |
| propcache | 0.3.1 | profeta | 1.2.1 | proto-plus | 1.26.1 |
| protobuf | 5.29.4 | psutil | 5.9.0 | psycopg2 | 2.9.11 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | puremagic | 1.30 |
| py-cpuinfo | 9.0.0 | py-spy | 0.4.1 | pyarrow | 21.0.0 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pyccolo | 0.0.71 |
| pycparser | 2.21 | pydantic | 2.10.6 | pydantic_core | 2.27.2 |
| pyflakes | 3.2.0 | Pygments | 2.19.1 | PyGObject | 3.48.2 |
| pyiceberg | 0.10.0 | PyJWT | 2.10.1 | PyNaCl | 1.5.0 |
| pyodbc | 5.2.0 | pyOpenSSL | 25.0.0 | pyparsing | 3.2.0 |
| pyright | 1.1.394 | piroaring | 1.0.3 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | python-dotenv | 1.2.1 |
| Editor di Python | 1.0.4 | python-json-logger | 3.2.1 | python-lsp-jsonrpc | 1.1.2 |
| python-lsp-server | 1.12.2 | python-snappy | 0.7.3 | pytoolconfig | 1.2.6 |
| pytz | 2024.1 | PyWavelets | 1.8.0 | PyYAML | 6.0.2 |
| pyzmq | 26.2.0 | raggio | 2.37.0 | referencing | 0.30.2 |
| regex | 2024.11.6 | requests | 2.32.3 | requests-toolbelt | 1.0.0 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | rich | 13.9.4 |
| rope | 1.13.0 | rpds-py | 0.22.3 | rsa | 4.9.1 |
| s3transfer | 0.14.0 | safetensors | 0.6.2 | scikit-image | 0.25.0 |
| scikit-learn | 1.6.1 | scipy | 1.15.3 | Seaborn | 0.13.2 |
| Send2Trash | 1.8.2 | trasformatori di frase | 5.1.2 | segmentazione delle frasi | 0.2.1 |
| setuptools | 78.1.1 | forma | 0.49.1 | "Shellingham" | 1.5.4 |
| sei | 1.17.0 | sklearn-compat | 0.1.3 | strumento di taglio | 0.0.8 |
| smart_open | 7.5.0 | smmap | 5.0.0 | sniffio | 1.3.0 |
| sortedcontainers | 2.4.0 | soundfile | 0.13.1 | soupsieve | 2,5 |
| soxr | 1.0.0 | spazioso | 3.7.5 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.39 | sqlparse | 0.5.3 |
| seriamente? | 2.5.1 | ssh-import-id (comando per l'importazione di chiavi SSH) | 5.11 | stack-data | 0.6.3 |
| stanio | 0.5.1 | starlette | 0.49.3 | statsmodels | 0.14.4 |
| strictyaml | 1.7.3 | la libreria sympy | 1.13.3 | tenacity | 9.0.0 |
| TensorBoard | 2.20.0 | server di dati di TensorBoard | 0.7.2 | tensorboardX | 2.6.4 |
| TensorFlow | 2.20.0 | termcolor | 3.2.0 | terminado | 0.17.1 |
| testuale | 4.0.0 | tf_keras | 2.20.1 | thinc | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2025.2.18 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | tokenizzatori | 0.22.1 |
| tomli | 2.0.1 | Torcia | 2.9.0+CPU | torcheval | 0.0.7 |
| visione della torcia | 0.24.0+CPU | tornado | 6.5.1 | tqdm | 4.67.1 |
| traitlets (una libreria per la configurazione dei parametri nei programmi Python) | 5.14.3 | trasformatori | 4.57.1 | typeguard | 4.4.2 |
| Typer | 0.20.0 | typer-slim | 0.20.0 | types-python-dateutil | 2.9.0.20251108 |
| ispezione di digitazione | 0.9.0 | typing_extensions | 4.12.2 | tzdata | 2024.1 |
| uc-micro-py | 1.0.1 | ujson (una libreria per la gestione di JSON in Python) | 5.10.0 | unattended-upgrades | 0.1 |
| uri-template | 1.3.0 | urllib3 | 2.3.0 | uvicorn | 0.38.0 |
| virtualenv | 20.29.3 | Visioni | 0.8.1 | wadllib | 1.3.6 |
| wasabi | 1.1.3 | wcwidth | 0.2.5 | Donnola | 0.4.3 |
| webcolors | 25.10.0 | webencodings | 0.5.1 | websocket-client | 1.8.0 |
| Attrezzo | 3.1.3 | whatthepatch | 1.0.2 | ruota | 0.45.1 |
| ogni volta | 0.7.3 | widgetsnbextension | 3.6.6 | wordcloud | 1.9.4 |
| wrapt | 1.17.0 | xgboost | 3.1.1 | xgboost-ray | 0.1.19 |
| xxhash | 3.5.0 | yapf | 0.40.2 | yarl | 1.18.0 |
| ydata-profiling Profilatura dei dati | 4.17.0 | zipp | 3.21.0 | zstandard | 0.23.0 |
| zstd | 1.5.5.1 |
Librerie Python sui cluster GPU
Note
PyTorch usa le dipendenze PyPI CUDA per fornire supporto CUDA anziché le versioni della libreria CUDA integrate in Databricks Runtime 18 ML.
| Libreria | Versione | Libreria | Versione | Libreria | Versione |
|---|---|---|---|---|---|
| absl-py | 2.3.1 | accelerare | 1.11.0 | aiohappyeyeballs | 2.4.4 |
| aiohttp | 3.11.10 | aiohttp-cors | 0.8.1 | aiosignal | 1.2.0 |
| documento annotato | 0.0.4 | annotated-types | 0.7.0 | anyio | 4.7.0 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | arro3-core | 0.6.5 |
| arrow | 1.3.0 | asttokens | 3.0.0 | astunparse | 1.6.3 |
| async-lru | 2.0.4 | attrs | 24.3.0 | lettura audio | 3.1.0 |
| autocommand | 2.2.2 | azure-common | 1.1.28 | azure-core | 1.36.0 |
| 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 | 12.27.1 | file di archiviazione Azure Data Lake | 12.22.0 |
| babel | 2.16.0 | backports.tarfile | 1.2.0 | bcrypt | 4.3.0 |
| beautifulsoup4 | 4.12.3 | black | 24.10.0 | bleach | 6.2.0 |
| blinker | 1.7.0 | blis | 0.7.11 | boto3 | 1.40.45 |
| botocore | 1.40.45 | brotli | 1.2.0 | cachetools | 5.5.1 |
| catalogo | 2.0.10 | certifi | 2025.4.26 | cffi | 1.17.1 |
| chardet | 4.0.0 | charset-normalizer | 3.3.2 | interruttore | 2.1.3 |
| click | 8.1.8 | cloudpathlib | 0.23.0 | cloudpickle (libreria Python per la serializzazione degli oggetti) | 3.0.0 |
| cmdstanpy | 1.3.0 | colorato | 0.5.8 | registro dei colori | 6.10.1 |
| comm | 0.2.1 | preparazione | 0.1.5 | contourpy | 1.3.1 |
| cramjam | 2.11.0 | cryptography | 44.0.1 | cycler | 0.11.0 |
| cymem | 2.0.12 | Cython | 3.1.5 | roccia dacite | 1.9.2 |
| databricks-agents | 1.9.1 | ingegneria delle caratteristiche in Databricks | 0.13.0.1 | databricks-sdk | 0.67.0 |
| dataclasses-json | 0.6.7 | datasets | 4.3.0 | dbl-tempo | 0.1.26 |
| dbus-python | 1.3.2 | debugpy | 1.8.11 | decorator | 5.1.1 |
| deepspeed | 0.18.1 | defusedxml | 0.7.1 | deltalake | 1.1.4 |
| Deprecated | 1.2.18 | dill | 0.3.8 | distlib | 0.3.9 |
| dm-tree | 0.1.9 | docstring-to-markdown | 0.11 | einops | 0.8.1 |
| evaluate | 0.4.6 | executing | 1.2.0 | facets-overview | 1.1.1 |
| Notifiche di Farama | 0.0.4 | fastapi | 0.121.2 | fastjsonschema | 2.21.1 |
| filelock | 3.17.0 | tipo di file | 1.2.0 | flash_attn | 2.8.3 |
| Flask | 2.2.5 | FlatBuffers | 25.9.23 | fonttools | 4.55.3 |
| fqdn | 1.5.1 | frozenlist | 1.5.0 | fsspec | 2023.5.0 |
| gast | 0.6.0 | gitdb | 4.0.11 | GitPython | 3.1.43 |
| google-api-core | 2.28.1 | google-auth | 2.43.0 | google-cloud-core | 2.5.0 |
| google-cloud-storage | 3.2.0 | google-crc32c | 1.7.1 | Google-Pasta | 0.2.0 |
| google-resumable-media (media riprendibile di Google) | 2.7.2 | googleapis-common-protos | 1.65.0 | graphql-core | 3.2.4 |
| greenlet | 3.1.1 | grpcio | 1.67.0 | grpcio-status | 1.67.0 |
| ginnasio | 0.28.1 | h11 | 0.16.0 | h5py | 3.12.1 |
| hf-xet | 1.2.0 | hjson | 3.1.0 | festività | 0,54 |
| httpcore | 1.0.9 | httplib2 | 0.20.4 | httpx | 0.28.1 |
| huggingface-hub | 0.36.0 | IDNA | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.37.0 | imbalanced-learn (una libreria di apprendimento automatico per la gestione dei set di dati sbilanciati) | 0.13.0 | importlib_metadata | 8.5.0 |
| 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 | 0.7.2 |
| isoduration | 20.11.0 | it’s dangerous | 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 | 0.12.0 | 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 | 2023.7.1 |
| jupyter | 1.1.1 | jupyter-console | 6.6.3 | jupyter-events | 0.12.0 |
| jupyter-lsp | 2.2.5 | jupyter_client | 8.6.3 | jupyter_core | 5.7.2 |
| jupyter_server | 2.15.0 | jupyter_server_terminals | 0.5.3 | jupyterlab | 4.3.4 |
| jupyterlab_pygments | 0.3.0 | jupyterlab_server | 2.27.3 | jupyterlab_widgets | 1.1.11 |
| Keras | 3.12.0 | kiwisolver | 1.4.8 | langchain | 1.0.3 |
| langchain-core | 1.0.4 | langchain-openai | 1.0.2 | codici linguistici | 3.5.0 |
| langgraph | 1.0.3 | langgraph-checkpoint | 3.0.1 | langgraph-precostruito | 1.0.4 |
| langgraph-sdk | 0.2.9 | langsmith | 0.4.41 | dati linguistici | 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 | linkify-it-py | 2.0.0 | litellm | 1.75.9 |
| llvmlite | 0.44.0 | lz4 | 4.3.2 | Mako | 1.3.10 |
| marisa-trie | 1.2.0 | Markdown | 3.8 | markdown-it-py | 2.2.0 |
| MarkupSafe | 3.0.2 | zefiro | 3.26.1 | matplotlib | 3.10.0 |
| matplotlib-inline | 0.1.7 | mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.19.1 | minify_html | 0.18.1 |
| mistune | 3.1.2 | ml_dtypes | 0.5.3 | mlflow versione leggera | 3.8.1 |
| mmh3 | 5.2.0 | more-itertools | 10.3.0 | MosaicML-Streaming | 0.13.0 |
| mpmath | 1.3.0 | msal | 1.34.0 | msal-extensions | 1.3.1 |
| msgpack | 1.1.2 | multidict | 6.1.0 | multimetodo | 1.12 |
| multiprocesso | 0.70.16 | algoritmo di hashing murmurhash | 1.0.14 | mypy-extensions | 1.0.0 |
| namex | 0.1.0 | nbclient | 0.10.2 | nbconvert | 7.16.6 |
| nbformat | 5.10.4 | nest-asyncio | 1.6.0 | networkx | 3.4.2 |
| ninja | 1.13.0 | nltk (Natural Language Toolkit) | 3.9.1 | nodeenv | 1.9.1 |
| notebook | 7.3.2 | notebook_shim | 0.2.4 | numba | 0.61.0 |
| numpy | 2.1.3 | nvidia-cublas-cu12 | 12.9.1.4 | nvidia-cuda-cupti-cu12 | 12.9.79 |
| nvidia-cuda-nvrtc-cu12 | 12.9.86 | nvidia-cuda-runtime-cu12 | 12.9.79 | nvidia-cudnn-cu12 | 9.10.2.21 |
| nvidia-cufft-cu12 | 11.4.1.4 | nvidia-cufile-cu12 | 1.14.1.1 | nvidia-curand-cu12 | 10.3.10.19 |
| nvidia-cusolver-cu12 | 11.7.5.82 | nvidia-cusparse-cu12 | 12.5.10.65 | nvidia-cusparselt-cu12 | 0.7.1 |
| nvidia-ml-py | 13.580.82 | nvidia-nccl-cu12 | 2.27.5 | nvidia-nvjitlink-cu12 | 12.9.86 |
| nvidia-nvshmem-cu12 | 3.3.20 | nvidia-nvtx-cu12 | 12.9.79 | oauthlib | 3.2.0 |
| oci | 2.163.1 | OpenAI | 2.7.0 | opencensus | 0.11.4 |
| opencensus-context | 0.1.3 | opentelemetry-api | 1.38.0 | opentelemetry-proto | 1.38.0 |
| opentelemetry-sdk | 1.38.0 | opentelemetry-semantic-conventions | 0,59b0 | opt_einsum | 3.4.0 |
| optree | 0.17.0 | optuna | 3.6.1 | integrazione-optuna | 3.6.0 |
| orjson | 3.11.4 | ormsgpack | 1.12.0 | overrides | 7.4.0 |
| packaging | 24.2 | pandas | 2.2.3 | pandocfilters | 1.5.0 |
| paramiko | 3.5.1 | parso | 0.8.4 | pathspec | 0.10.3 |
| patsy | 1.0.1 | pexpect | 4.8.0 | phik | 0.12.5 |
| pillow | 11.1.0 | seme | 25.0.1 | platformdirs | 4.3.7 |
| plotly | 5.24.1 | pluggy | 1.5.0 | cagnolino | 1.8.2 |
| (Note: Without context, a definitive improved translation cannot be accurately proposed). | 3.0.11 | prometheus_client | 0.21.1 | prompt-toolkit | 3.0.43 |
| propcache | 0.3.1 | profeta | 1.2.1 | proto-plus | 1.26.1 |
| protobuf | 5.29.4 | psutil | 5.9.0 | psycopg2 | 2.9.11 |
| ptyprocess | 0.7.0 | pure-eval | 0.2.2 | puremagic | 1.30 |
| py-cpuinfo | 9.0.0 | py-spy | 0.4.1 | pyarrow | 21.0.0 |
| pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 | pyccolo | 0.0.71 |
| pycparser | 2.21 | pydantic | 2.10.6 | pydantic_core | 2.27.2 |
| pyflakes | 3.2.0 | Pygments | 2.19.1 | PyGObject | 3.48.2 |
| pyiceberg | 0.10.0 | PyJWT | 2.10.1 | PyNaCl | 1.5.0 |
| pyodbc | 5.2.0 | pyOpenSSL | 25.0.0 | pyparsing | 3.2.0 |
| pyright | 1.1.394 | piroaring | 1.0.3 | pytesseract | 0.3.10 |
| pytest | 8.3.5 | python-dateutil | 2.9.0.post0 | python-dotenv | 1.2.1 |
| Editor di Python | 1.0.4 | python-json-logger | 3.2.1 | python-lsp-jsonrpc | 1.1.2 |
| python-lsp-server | 1.12.2 | python-snappy | 0.7.3 | pytoolconfig | 1.2.6 |
| pytz | 2024.1 | PyWavelets | 1.8.0 | PyYAML | 6.0.2 |
| pyzmq | 26.2.0 | raggio | 2.37.0 | referencing | 0.30.2 |
| regex | 2024.11.6 | requests | 2.32.3 | requests-toolbelt | 1.0.0 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | rich | 13.9.4 |
| rope | 1.13.0 | rpds-py | 0.22.3 | rsa | 4.9.1 |
| s3transfer | 0.14.0 | safetensors | 0.6.2 | scikit-image | 0.25.0 |
| scikit-learn | 1.6.1 | scipy | 1.15.3 | Seaborn | 0.13.2 |
| Send2Trash | 1.8.2 | trasformatori di frase | 5.1.2 | segmentazione delle frasi | 0.2.1 |
| setuptools | 78.1.1 | forma | 0.49.1 | "Shellingham" | 1.5.4 |
| sei | 1.17.0 | sklearn-compat | 0.1.3 | strumento di taglio | 0.0.8 |
| smart_open | 7.5.0 | smmap | 5.0.0 | sniffio | 1.3.0 |
| sortedcontainers | 2.4.0 | soundfile | 0.13.1 | soupsieve | 2,5 |
| soxr | 1.0.0 | spazioso | 3.7.5 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.39 | sqlparse | 0.5.3 |
| seriamente? | 2.5.1 | ssh-import-id (comando per l'importazione di chiavi SSH) | 5.11 | stack-data | 0.6.3 |
| stanio | 0.5.1 | starlette | 0.49.3 | statsmodels | 0.14.4 |
| strictyaml | 1.7.3 | la libreria sympy | 1.13.3 | tenacity | 9.0.0 |
| TensorBoard | 2.20.0 | server di dati di TensorBoard | 0.7.2 | tensorboardX | 2.6.4 |
| TensorFlow | 2.20.0 | termcolor | 3.2.0 | terminado | 0.17.1 |
| testuale | 4.0.0 | tf_keras | 2.20.1 | thinc | 8.2.4 |
| threadpoolctl | 3.5.0 | tifffile | 2025.2.18 | tiktoken | 0.9.0 |
| tinycss2 | 1.4.0 | tokenize_rt | 6.1.0 | tokenizzatori | 0.22.1 |
| tomli | 2.0.1 | Torcia | 2.9.0+cu129 | torcheval | 0.0.7 |
| visione della torcia | 0.24.0+cu129 | tornado | 6.5.1 | tqdm | 4.67.1 |
| traitlets (una libreria per la configurazione dei parametri nei programmi Python) | 5.14.3 | trasformatori | 4.57.1 | Tritone | 3.5.0 |
| typeguard | 4.4.2 | Typer | 0.20.0 | typer-slim | 0.20.0 |
| types-python-dateutil | 2.9.0.20251108 | ispezione di digitazione | 0.9.0 | typing_extensions | 4.12.2 |
| tzdata | 2024.1 | uc-micro-py | 1.0.1 | ujson (una libreria per la gestione di JSON in Python) | 5.10.0 |
| unattended-upgrades | 0.1 | uri-template | 1.3.0 | urllib3 | 2.3.0 |
| uvicorn | 0.38.0 | virtualenv | 20.29.3 | Visioni | 0.8.1 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| Donnola | 0.4.3 | webcolors | 25.10.0 | webencodings | 0.5.1 |
| websocket-client | 1.8.0 | Attrezzo | 3.1.3 | whatthepatch | 1.0.2 |
| ruota | 0.45.1 | ogni volta | 0.7.3 | widgetsnbextension | 3.6.6 |
| wordcloud | 1.9.4 | wrapt | 1.17.0 | xgboost | 3.1.1 |
| xgboost-ray | 0.1.19 | xxhash | 3.5.0 | yapf | 0.40.2 |
| yarl | 1.18.0 | ydata-profiling Profilatura dei dati | 4.17.0 | zipp | 3.21.0 |
| zstandard | 0.23.0 | zstd | 1.5.5.1 |
Librerie R
Le librerie R sono identiche alle librerie R in Databricks Runtime 18.
librerie Java e Scala (cluster Scala 2.13)
Oltre a Java e librerie Scala in Databricks Runtime 18, Databricks Runtime 18 ML contiene i file JAR seguenti:
Cluster di CPU
| ID del Gruppo | ID dell'artefatto | Versione |
|---|---|---|
| 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 |
Cluster di GPU
| ID del Gruppo | ID dell'artefatto | Versione |
|---|---|---|
| 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 |
Versioni non supportate
Suggerimento
Per visualizzare le note sulle versioni di Databricks Runtime che hanno raggiunto l'EoS (fine del supporto), vedere Note sulle versioni di Databricks Runtime che hanno raggiunto l'EoS. Le versioni di EoS Databricks Runtime sono state ritirate e potrebbero non essere aggiornate.