Databricks Runtime 14.1 per Machine Learning
Databricks Runtime 14.1 per Machine Learning offre un ambiente pronto per l'apprendimento automatico e l'analisi scientifica dei dati basato su Databricks Runtime 14.1. Databricks Runtime ML contiene molte librerie di Machine Learning più diffuse, tra cui TensorFlow, PyTorch e XGBoost. Databricks Runtime ML include AutoML, uno strumento per eseguire automaticamente il training delle pipeline di Machine Learning. Databricks Runtime ML supporta anche il training di Deep Learning distribuito usando Horovod.
Miglioramenti e nuove funzionalità
Databricks Runtime 14.1 ML è basato su Databricks Runtime 14.1. Per informazioni sulle novità di Databricks Runtime 14.1, tra cui Apache Spark MLlib e SparkR, vedere le note sulla versione di Databricks Runtime 14.1 .
Miglioramenti a Databricks AutoML
I notebook generati da Databricks AutoML vengono ora salvati come artefatti MLflow.
Miglioramenti all'archivio funzionalità di Databricks
È ora possibile dedurre e registrare automaticamente un esempio di input quando si registra un modello. A tale scopo, impostare su infer_model_exampleTrue quando si chiama log_model. L'esempio si basa sui dati di training specificati nel training_set parametro .
Per altre informazioni sull'archivio funzionalità di Databricks, vedere Che cos'è un archivio funzionalità?.
Ambiente di sistema
L'ambiente di sistema in Databricks Runtime 14.1 ML differisce da Databricks Runtime 14.1 come indicato di seguito:
- DBUtils: Databricks Runtime ML non include l'utilità libreria (dbutils.library) (legacy)..
Usare
%pipinvece i comandi. Vedere Librerie Python con ambito notebook. - Per i cluster GPU, Databricks Runtime ML include le librerie GPU NVIDIA seguenti:
- CUDA 11.8
- cuDNN 8.9.0.131-1
- NCCL 2.15.5
- TensorRT 8.5.3-1
Databricks Runtime 14.1 ML include XGBoost 1.7.6, che non supporta cluster GPU con funzionalità di calcolo 5.2 e versioni successive.
Librerie
Le sezioni seguenti elencano le librerie incluse in Databricks Runtime 14.1 ML che differiscono da quelle incluse in Databricks Runtime 14.1.
Contenuto della sezione:
Librerie di livello superiore
Databricks Runtime 14.1 ML include le librerie di livello superiore seguenti:
- GraphFrames
- Horovod e HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow
- TensorBoard
- Scikit-learn
Librerie Python
Databricks Runtime 14.1 ML usa Virtualenv per la gestione dei pacchetti Python e include molti pacchetti di Machine Learning più diffusi.
Oltre ai pacchetti specificati nelle sezioni seguenti, Databricks Runtime 14.1 ML include anche i pacchetti seguenti:
- hyperopt 0.2.7+db4
- 3.0.0_db1 sparkdl
- automl 1.22.0
Per riprodurre l'ambiente Python di Databricks Runtime ML nell'ambiente virtuale Python locale, scaricare il file di requirements-14.1.txt ed eseguire pip install -r requirements-14.1.txt. Questo comando installa tutte le librerie open source usate da Databricks Runtime ML, ma non installa librerie sviluppate da Databricks, ad esempio databricks-automl, databricks-feature-storeo il fork di Databricks di hyperopt.
Librerie Python nei cluster CPU
| Libreria | Versione | Libreria | Versione | Libreria | Versione |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.21.0 | aiohttp | 3.8.5 |
| aiosignal | 1.3.1 | anyio | 3.5.0 | appdirs | 1.4.4 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | astor | 0.8.1 |
| asttoken | 2.0.5 | astunparse | 1.6.3 | async-timeout | 4.0.3 |
| attrs | 22.1.0 | audioread | 3.0.0 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.18.1 | azure-storage-file-datalake | 12.13.1 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.10 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.1 | Catalogo | 2.0.9 | codificatori di categoria | 2.6.2 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | Clic | 8.0.4 | cloudpickle | 2.0.0 |
| cmdstanpy | 1.1.0 | serv | 0.1.2 | Confezione | 0.1.3 |
| configparser | 5.2.0 | contourpy | 1.0.5 | convertdate | 2.4.0 |
| Crittografia | 39.0.1 | cycler | 0.11.0 | cymem | 2.0.8 |
| Cython | 0.29.32 | dacite | 1.8.1 | databricks-automl-runtime | 0.2.19 |
| databricks-cli | 0.17.7 | databricks-feature-store | 0.15.1 | databricks-sdk | 0.1.6 |
| dataclasses-json | 0.5.14 | datasets | 2.14.4 | dbl-tempo | 0.1.23 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.10.0 | defusedxml | 0.7.1 | dill | 0.3.6 |
| diskcache | 5.6.3 | distlib | 0.3.7 | docstring-to-markdown | 0,11 |
| entrypoints | 0,4 | ephem | 4.1.4 | evaluate | 0.4.0 |
| executing | 0.8.3 | facet-overview | 1.1.1 | fastapi | 0.98.0 |
| fastjsonschema | 2.18.0 | fasttext | 0.9.2 | filelock | 3.9.0 |
| Flask | 2.2.5 | flatbuffers | 23.5.26 | fonttools | 4.25.0 |
| frozenlist | 1.4.0 | fsspec | 2022.11.0 | future | 0.18.3 |
| gast | 0.4.0 | Libreria di runtime GCC | 1.10.0 | gitdb | 4.0.10 |
| GitPython | 3.1.27 | google-api-core | 2.11.1 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 | google-cloud-storage | 2.10.0 |
| google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.6.0 |
| googleapis-common-protos | 1.60.0 | greenlet | 2.0.1 | grpcio | 1.48.2 |
| grpcio-status | 1.48.1 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
| h11 | 0.14.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| festività | 0,30 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | httptools | 0.6.0 | huggingface-hub | 0.14.1 |
| idna | 3.4 | ImageHash | 4.3.1 | sbilanciato-learn | 0.10.1 |
| importlib-metadata | 4.11.3 | importlib-resources | 6.0.1 | ipykernel | 6.25.0 |
| ipython | 8.14.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| isodate | 0.6.1 | itsdangerous | 2.0.1 | jedi | 0.18.1 |
| jeepney | 0.7.1 | Jinja2 | 3.1.2 | jmespath | 0.10.0 |
| joblib | 1.2.0 | joblibspark | 0.5.1 | jsonschema | 4.17.3 |
| jupyter-client | 7.3.4 | jupyter-server | 1.23.4 | jupyter_core | 5.2.0 |
| jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 | keras | 2.13.1 |
| Portachiavi | 23.5.0 | kiwisolver | 1.4.4 | langchain | 0.0.267 |
| langcodes | 3.3.0 | langsmith | 0.0.38 | launchpadlib | 1.10.16 |
| lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 | lazy_loader | 0,3 |
| libclang | 15.0.6.1 | librosa | 0.10.1 | lightgbm | 4.0.0 |
| llvmlite | 0.39.1 | LunarCalendar | 0.0.9 | lxml | 4.9.1 |
| Mako | 1.2.0 | Markdown | 3.4.1 | MarkupSafe | 2.1.1 |
| Marshmallow | 3.20.1 | matplotlib | 3.7.0 | matplotlib-inline | 0.1.6 |
| Mccabe | 0.7.0 | mistune | 0.8.4 | mlflow-skinny | 2.7.1 |
| more-itertools | 8.10.0 | mpmath | 1.2.1 | msgpack | 1.0.5 |
| multidict | 6.0.4 | multimethod | 1.9.1 | multiprocesso | 0.70.14 |
| mormurhash | 1.0.10 | mypy-extensions | 0.4.3 | nbclassic | 0.5.2 |
| nbclient | 0.5.13 | nbconvert | 6.5.4 | nbformat | 5.7.0 |
| nest-asyncio | 1.5.6 | networkx | 2.8.4 | ninja | 1.11.1 |
| nltk | 3,7 | nodeenv | 1.8.0 | notebook | 6.5.2 |
| notebook_shim | 0.2.2 | numba | 0.56.4 | numexpr | 2.8.4 |
| numpy | 1.23.5 | oauthlib | 3.2.0 | openai | 0.27.8 |
| openapi-schema-pydantic | 1.2.4 | opt-einsum | 3.3.0 | creazione del pacchetto | 22.0 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
| parso | 0.8.3 | pathspec | 0.10.3 | patia | 0.10.2 |
| patsy | 0.5.3 | petastorm | 0.12.1 | pexpect | 4.8.0 |
| phik | 0.12.3 | pickleshare | 0.7.5 | Pillow | 9.4.0 |
| pip | 22.3.1 | platformdirs | 2.5.2 | plotly | 5.9.0 |
| pluggy | 1.0.0 | pmdarima | 2.0.3 | pooch | 1.4.0 |
| preshed | 3.0.9 | prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 |
| Profeta | 1.1.4 | protobuf | 4.24.0 | psutil | 5.9.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pure-eval | 0.2.2 |
| py-cpuinfo | 9.0.0 | pyarrow | 8.0.0 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.11.1 | pycparser | 2.21 |
| pydantic | 1.10.6 | pyflakes | 3.0.1 | Pygments | 2.11.2 |
| PyGObject | 3.42.1 | PyJWT | 2.3.0 | PyMeeus | 0.5.12 |
| PyNaCl | 1.5.0 | pyodbc | 4.0.32 | pyparsing | 3.0.9 |
| pyright | 1.1.294 | pirsistente | 0.18.0 | pytesseract | 0.3.10 |
| python-dateutil | 2.8.2 | python-dotenv | 1.0.0 | python-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.0.0 | python-lsp-server | 1.7.1 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6.0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | requests | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | Corda | 1.7.0 |
| rsa | 4.9 | s3transfer | 0.6.2 | safetensors | 0.3.3 |
| scikit-learn | 1.1.1 | seaborn | 0.12.2 | Segreto Archiviazione | 3.3.1 |
| Send2Trash | 1.8.0 | trasformatori di frase | 2.2.2 | frase | 0.1.99 |
| setuptools | 65.6.3 | shap | 0.42.1 | simplejson | 3.17.6 |
| sei | 1.16.0 | filtro dei dati | 0.0.7 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.2.0 | soundfile | 0.12.1 |
| soupsieve | 2.3.2.post1 | soxr | 0.3.6 | Spacy | 3.6.1 |
| spacy-legacy | 3.0.12 | spacy-logger | 1.0.5 | spark-tensorflow-distributor | 1.0.0 |
| SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 | srsly | 2.4.7 |
| ssh-import-id | 5,11 | stack-data | 0.2.0 | starlette | 0.27.0 |
| statsmodels | 0.13.5 | sympy | 1.11.1 | tabulate | 0.8.10 |
| tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 | tensorboard | 2.13.0 |
| tensorboard-data-server | 0.7.1 | tensorboard-plugin-profile | 2.13.1 | tensorflow-cpu | 2.13.0 |
| tensorflow-estimator | 2.13.0 | tensorflow-io-gcs-filesystem | 0.34.0 | termcolor | 2.3.0 |
| terminado | 0.17.1 | thinc | 8.1.12 | threadpoolctl | 2.2.0 |
| tiktoken | 0.4.0 | tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 |
| tokenizer | 0.13.3 | tomli | 2.0.1 | Torcia | 2.0.1+CPU |
| torchvision | 0.15.2+CPU | tornado | 6.1 | tqdm | 4.64.1 |
| traitlets | 5.7.1 | Trasformatori | 4.31.0 | typeguard | 2.13.3 |
| Typer | 0.9.0 | typing-inspect | 0.9.0 | typing_extensions | 4.4.0 |
| ujson | 5.4.0 | aggiornamenti automatici | 0,1 | urllib3 | 1.26.14 |
| uvicorn | 0.23.2 | uvloop | 0.17.0 | virtualenv | 20.16.7 |
| Visioni | 0.7.5 | wadllib | 1.3.6 | Wasabi | 1.1.2 |
| watchfiles | 0.20.0 | wcwidth | 0.2.5 | webencodings | 0.5.1 |
| websocket-client | 0.58.0 | Websockets | 11.0.3 | Werkzeug | 2.2.2 |
| whatthepatch | 1.0.2 | wheel | 0.38.4 | widgetsnbextension | 3.6.1 |
| wordcloud | 1.9.2 | wrapt | 1.14.1 | xgboost | 1.7.6 |
| xxhash | 3.3.0 | yapf | 0.31.0 | yarl | 1.9.2 |
| Profilatura dei dati y | 4.2.0 | zipp | 3.11.0 |
Librerie Python nei cluster GPU
| Libreria | Versione | Libreria | Versione | Libreria | Versione |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.21.0 | aiohttp | 3.8.5 |
| aiosignal | 1.3.1 | anyio | 3.5.0 | appdirs | 1.4.4 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | astor | 0.8.1 |
| asttoken | 2.0.5 | astunparse | 1.6.3 | async-timeout | 4.0.3 |
| attrs | 22.1.0 | audioread | 3.0.0 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.18.1 | azure-storage-file-datalake | 12.13.1 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.10 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.1 | Catalogo | 2.0.9 | codificatori di categoria | 2.6.2 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | Clic | 8.0.4 | cloudpickle | 2.0.0 |
| Cmake | 3.27.5 | cmdstanpy | 1.1.0 | serv | 0.1.2 |
| Confezione | 0.1.3 | configparser | 5.2.0 | contourpy | 1.0.5 |
| convertdate | 2.4.0 | Crittografia | 39.0.1 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.19 | databricks-cli | 0.17.7 | databricks-feature-store | 0.15.1 |
| databricks-sdk | 0.1.6 | dataclasses-json | 0.5.14 | datasets | 2.14.4 |
| dbl-tempo | 0.1.23 | dbus-python | 1.2.18 | debugpy | 1.6.7 |
| decorator | 5.1.1 | deepspeed | 0.10.0 | defusedxml | 0.7.1 |
| dill | 0.3.6 | diskcache | 5.6.3 | distlib | 0.3.7 |
| docstring-to-markdown | 0,11 | einops | 0.6.1 | entrypoints | 0,4 |
| ephem | 4.1.4 | evaluate | 0.4.0 | executing | 0.8.3 |
| facet-overview | 1.1.1 | fastapi | 0.98.0 | fastjsonschema | 2.18.0 |
| fasttext | 0.9.2 | filelock | 3.9.0 | flash-attn | 2.0.8 |
| Flask | 2.2.5 | flatbuffers | 23.5.26 | fonttools | 4.25.0 |
| frozenlist | 1.4.0 | fsspec | 2022.11.0 | future | 0.18.3 |
| gast | 0.4.0 | Libreria di runtime GCC | 1.10.0 | gitdb | 4.0.10 |
| GitPython | 3.1.27 | google-api-core | 2.11.1 | google-auth | 2.21.0 |
| google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 | google-cloud-storage | 2.10.0 |
| google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.6.0 |
| googleapis-common-protos | 1.60.0 | greenlet | 2.0.1 | grpcio | 1.48.2 |
| grpcio-status | 1.48.1 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
| h11 | 0.14.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| festività | 0,30 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | httptools | 0.6.0 | huggingface-hub | 0.14.1 |
| idna | 3.4 | ImageHash | 4.3.1 | sbilanciato-learn | 0.10.1 |
| importlib-metadata | 4.11.3 | importlib-resources | 6.0.1 | ipykernel | 6.25.0 |
| ipython | 8.14.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| isodate | 0.6.1 | itsdangerous | 2.0.1 | jedi | 0.18.1 |
| jeepney | 0.7.1 | Jinja2 | 3.1.2 | jmespath | 0.10.0 |
| joblib | 1.2.0 | joblibspark | 0.5.1 | jsonschema | 4.17.3 |
| jupyter-client | 7.3.4 | jupyter-server | 1.23.4 | jupyter_core | 5.2.0 |
| jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 | keras | 2.13.1 |
| Portachiavi | 23.5.0 | kiwisolver | 1.4.4 | langchain | 0.0.267 |
| langcodes | 3.3.0 | langsmith | 0.0.38 | launchpadlib | 1.10.16 |
| lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 | lazy_loader | 0,3 |
| libclang | 15.0.6.1 | librosa | 0.10.1 | lightgbm | 4.0.0 |
| Illuminato | 16.0.6 | llvmlite | 0.39.1 | LunarCalendar | 0.0.9 |
| lxml | 4.9.1 | Mako | 1.2.0 | Markdown | 3.4.1 |
| MarkupSafe | 2.1.1 | Marshmallow | 3.20.1 | matplotlib | 3.7.0 |
| matplotlib-inline | 0.1.6 | Mccabe | 0.7.0 | mistune | 0.8.4 |
| mlflow-skinny | 2.7.1 | more-itertools | 8.10.0 | mpmath | 1.2.1 |
| msgpack | 1.0.5 | multidict | 6.0.4 | multimethod | 1.9.1 |
| multiprocesso | 0.70.14 | mormurhash | 1.0.10 | mypy-extensions | 0.4.3 |
| nbclassic | 0.5.2 | nbclient | 0.5.13 | nbconvert | 6.5.4 |
| nbformat | 5.7.0 | nest-asyncio | 1.5.6 | networkx | 2.8.4 |
| ninja | 1.11.1 | nltk | 3,7 | nodeenv | 1.8.0 |
| notebook | 6.5.2 | notebook_shim | 0.2.2 | numba | 0.56.4 |
| numexpr | 2.8.4 | numpy | 1.23.5 | oauthlib | 3.2.0 |
| openai | 0.27.8 | openapi-schema-pydantic | 1.2.4 | opt-einsum | 3.3.0 |
| creazione del pacchetto | 22.0 | pandas | 1.5.3 | pandocfilters | 1.5.0 |
| paramiko | 2.9.2 | parso | 0.8.3 | pathspec | 0.10.3 |
| patia | 0.10.2 | patsy | 0.5.3 | petastorm | 0.12.1 |
| pexpect | 4.8.0 | phik | 0.12.3 | pickleshare | 0.7.5 |
| Pillow | 9.4.0 | pip | 22.3.1 | platformdirs | 2.5.2 |
| plotly | 5.9.0 | pluggy | 1.0.0 | pmdarima | 2.0.3 |
| pooch | 1.4.0 | preshed | 3.0.9 | prompt-toolkit | 3.0.36 |
| Profeta | 1.1.4 | protobuf | 4.24.0 | psutil | 5.9.0 |
| psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pure-eval | 0.2.2 |
| py-cpuinfo | 9.0.0 | pyarrow | 8.0.0 | pyasn1 | 0.4.8 |
| pyasn1-modules | 0.2.8 | pybind11 | 2.11.1 | pycparser | 2.21 |
| pydantic | 1.10.6 | pyflakes | 3.0.1 | Pygments | 2.11.2 |
| PyGObject | 3.42.1 | PyJWT | 2.3.0 | PyMeeus | 0.5.12 |
| PyNaCl | 1.5.0 | pyodbc | 4.0.32 | pyparsing | 3.0.9 |
| pyright | 1.1.294 | pirsistente | 0.18.0 | pytesseract | 0.3.10 |
| python-dateutil | 2.8.2 | python-dotenv | 1.0.0 | python-editor | 1.0.4 |
| python-lsp-jsonrpc | 1.0.0 | python-lsp-server | 1.7.1 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6.0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | requests | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | Corda | 1.7.0 |
| rsa | 4.9 | s3transfer | 0.6.2 | safetensors | 0.3.3 |
| scikit-learn | 1.1.1 | seaborn | 0.12.2 | Segreto Archiviazione | 3.3.1 |
| Send2Trash | 1.8.0 | trasformatori di frase | 2.2.2 | frase | 0.1.99 |
| setuptools | 65.6.3 | shap | 0.42.1 | simplejson | 3.17.6 |
| sei | 1.16.0 | filtro dei dati | 0.0.7 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.2.0 | soundfile | 0.12.1 |
| soupsieve | 2.3.2.post1 | soxr | 0.3.6 | Spacy | 3.6.1 |
| spacy-legacy | 3.0.12 | spacy-logger | 1.0.5 | spark-tensorflow-distributor | 1.0.0 |
| SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 | srsly | 2.4.7 |
| ssh-import-id | 5,11 | stack-data | 0.2.0 | starlette | 0.27.0 |
| statsmodels | 0.13.5 | sympy | 1.11.1 | tabulate | 0.8.10 |
| tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 | tensorboard | 2.13.0 |
| tensorboard-data-server | 0.7.1 | tensorboard-plugin-profile | 2.13.1 | tensorflow | 2.13.0 |
| tensorflow-estimator | 2.13.0 | tensorflow-io-gcs-filesystem | 0.34.0 | termcolor | 2.3.0 |
| terminado | 0.17.1 | thinc | 8.1.12 | threadpoolctl | 2.2.0 |
| tiktoken | 0.4.0 | tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 |
| tokenizer | 0.13.3 | tomli | 2.0.1 | Torcia | 2.0.1+cu118 |
| torchvision | 0.15.2+cu118 | tornado | 6.1 | tqdm | 4.64.1 |
| traitlets | 5.7.1 | Trasformatori | 4.31.0 | Triton | 2.0.0 |
| typeguard | 2.13.3 | Typer | 0.9.0 | typing-inspect | 0.9.0 |
| typing_extensions | 4.4.0 | ujson | 5.4.0 | aggiornamenti automatici | 0,1 |
| urllib3 | 1.26.14 | uvicorn | 0.23.2 | uvloop | 0.17.0 |
| virtualenv | 20.16.7 | Visioni | 0.7.5 | wadllib | 1.3.6 |
| Wasabi | 1.1.2 | watchfiles | 0.20.0 | wcwidth | 0.2.5 |
| webencodings | 0.5.1 | websocket-client | 0.58.0 | Websockets | 11.0.3 |
| Werkzeug | 2.2.2 | whatthepatch | 1.0.2 | wheel | 0.38.4 |
| widgetsnbextension | 3.6.1 | wordcloud | 1.9.2 | wrapt | 1.14.1 |
| xgboost | 1.7.6 | xxhash | 3.3.0 | yapf | 0.31.0 |
| yarl | 1.9.2 | Profilatura dei dati y | 4.2.0 | zipp | 3.11.0 |
Librerie R
Le librerie R sono identiche alle librerie R in Databricks Runtime 14.1.
Librerie Java e Scala (cluster Scala 2.12)
Oltre alle librerie Java e Scala in Databricks Runtime 14.1, Databricks Runtime 14.1 ML contiene i file JAR seguenti:
Cluster CPU
| ID gruppo | ID artefatto | Versione |
|---|---|---|
| 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 | 0.8.2-db2-spark3.4 |
| org.mlflow | mlflow-client | 2.7.1 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Cluster GPU
| ID gruppo | ID artefatto | Versione |
|---|---|---|
| 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 | 0.8.2-db2-spark3.4 |
| org.mlflow | mlflow-client | 2.7.1 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |