Databricks Runtime 15.4 LTS para Machine Learning (Beta)
Importante
Databricks Runtime 15.4 LTS para Machine Learning está en versión Beta. El contenido de los entornos admitidos puede cambiar durante la versión beta. Los cambios pueden incluir la lista de paquetes o versiones de los paquetes instalados.
Databricks Runtime 15.4 LTS para Machine Learning proporciona un entorno listo para usar, de aprendizaje automático y ciencia de datos, basado en Databricks Runtime 15.4 LTS (Beta). Databricks Runtime ML contiene muchas bibliotecas populares de aprendizaje automático, incluidas TensorFlow, PyTorch y XGBoost. Databricks Runtime ML incluye AutoML, una herramienta para entrenar automáticamente canalizaciones de aprendizaje automático. Databricks Runtime ML también admite el entrenamiento de aprendizaje profundo distribuido mediante TorchDistributor.
Nuevas características y mejoras
Databricks Runtime 15.4 LTS ML se basa en Databricks Runtime 15.4 LTS. Para más información sobre las novedades de Databricks Runtime 15.4 LTS, incluyendo Apache Spark MLlib y SparkR, consulte las notas de la versión de Databricks Runtime 15.4 LTS (Beta).
Pesos de muestra de Databricks AutoML para su clasificación
AutoML ahora admite pesos de muestra para su clasificación, lo que le permite ajustar la importancia de cada clase durante el entrenamiento del modelo de clasificación. Para obtener más información, vea los Parámetros de clasificación para la API de Python de AutoML.
Cambios en el cliente de ingeniería de características de Databricks
Para obtener información sobre las novedades de la API de Python de ingeniería de características de Databricks, consulte las notas de la versión del cliente de ingeniería de características.
Entorno del sistema
El entorno del sistema en Databricks Runtime 15.4 LTS ML se diferencia del de Databricks Runtime 15.4 LTS en lo siguiente:
- En los clústeres de GPU, Databricks Runtime ML incluye las siguientes bibliotecas de GPU de NVIDIA:
- 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
Bibliotecas
En las secciones siguientes se enumeran las bibliotecas incluidas en Databricks Runtime 15.4 LTS ML, que difieren de las incluidas en Databricks Runtime 15.4 LTS.
En esta sección:
- Bibliotecas de nivel superior
- Bibliotecas de Python
- Bibliotecas de R
- Bibliotecas de Java y Scala (clúster de Scala 2.12)
Bibliotecas de nivel superior
Databricks Runtime 15.4 LTS ML incluye las siguientes bibliotecas de nivel superior:
- datasets
- GraphFrames
- MLflow
- PyTorch
- spark-tensorflow-connector
- Scikit-learn
- TensorFlow
- TensorBoard
- transformers
Bibliotecas de Python
Databricks Runtime 15.4 LTS ML usa virtualenv para la administración de los paquetes de Python, e incluye muchos paquetes populares de ML.
Además de los paquetes especificados en las secciones siguientes, Databricks Runtime 15.4 LTS ML también incluye los paquetes siguientes:
- hyperopt 0.2.7+db3
- sparkdl 3.0.0_db1
- automl 1.28.0
Para reproducir el entorno de Python de Databricks Runtime ML en el entorno virtual local de Python, descargue el archivo requirements-15.4.txt y ejecute pip install -r requirements-15.4.txt. Este comando instala todas las bibliotecas de código abierto que usa Databricks Runtime ML, pero no instala bibliotecas que desarrolla Databricks, como databricks-automl, o la bifurcación de Databricks de hyperopt.
Bibliotecas de Python en clústeres de CPU
| Biblioteca | Versión | Biblioteca | Versión | Biblioteca | Versión |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.31.0 | 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 | 1.30.2 |
| azure-cosmos | 4.3.1 | azure-identity | 1.17.1 | 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 | blis | 0.7.11 | boto3 | 1.34.39 |
| botocore | 1.34.39 | Brotli | 1.0.9 | cachetools | 5.4.0 |
| catalogue | 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 | click | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.2 | multicolor | 0.5.6 |
| comm | 0.1.2 | confection | 0.1.4 | configparser | 5.2.0 |
| contourpy | 1.0.5 | criptografía | 41.0.3 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.6.0 | databricks-sdk | 0.20.0 |
| dataclasses-json | 0.6.7 | conjuntos de datos | 2.19.1 | dbl-tempo | 0.1.26 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.14.4 | defusedxml | 0.7.1 | En desuso | 1.2.14 |
| dill | 0.3.6 | diskcache | 5.6.3 | distlib | 0.3.8 |
| dm-tree | 0.1.8 | entrypoints | 0,4 | evaluate | 0.4.2 |
| ejecutar | 0.8.3 | facets-overview | 1.1.1 | Farama-Notifications | 0.0.4 |
| fastjsonschema | 2.20.0 | 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 | 2.7.1 | 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 | Gimnasio | 0.28.1 |
| h11 | 0.14.0 | h5py | 3.10.0 | hjson | 3.1.0 |
| holidays | 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 | 0.23.4 | idna | 3.4 | ImageHash | 4.3.1 |
| imageio | 2.31.1 | imbalanced-learn | 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 | 3.0.0 | 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 | 3.2.1 | 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 |
| marshmallow | 3.21.2 | matplotlib | 3.7.2 | matplotlib-inline | 0.1.6 |
| mdit-py-plugins | 0.3.0 | mdurl | 0.1.0 | memray | 1.13.3 |
| mistune | 0.8.4 | ml-dtypes | 0.3.2 | mlflow-skinny | 2.13.1 |
| more-itertools | 8.10.0 | mosaicml-streaming | 0.7.4 | mpmath | 1.3.0 |
| msal | 1.29.0 | msal-extensions | 1.2.0 | msgpack | 1.0.8 |
| multidict | 6.0.2 | multimethod | 1.12 | 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-ml-py | 12.555.43 | oauthlib | 3.2.0 | oci | 2.126.4 |
| openai | 1.35.3 | opencensus==0.7.13 | 0.11.4 | opencensus-context==0.1.2 | 0.1.3 |
| opentelemetry-api | 1.25.0 | opentelemetry-sdk | 1.25.0 | opentelemetry-semantic-conventions | 0.46b0 |
| opt-einsum | 3.3.0 | optree | 0.12.1 | orjson | 3.10.6 |
| empaquetado | 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 | 2.10.1 |
| preshed | 3.0.9 | prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 |
| prophet | 1.1.5 | proto-plus | 1.24.0 | 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 | 2.13.1 | 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 |
| pyodbc | 4.0.38 | pyOpenSSL | 23.2.0 | pyparsing | 3.0.9 |
| pyrsistent | 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 | Ray | 2.20.0 | regex | 2022.7.9 |
| requests | 2.31.0 | requests-oauthlib | 1.3.1 | rich | 13.7.1 |
| rsa | 4,9 | s3transfer | 0.10.2 | 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 |
| sentence-transformers | 2.7.0 | sentencepiece | 0.1.99 | setuptools | 68.0.0 |
| shap | 0.44.0 | simplejson | 3.17.6 | six (seis) | 1.16.0 |
| segmentación | 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 | 0.5.1 | 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 | 0.37.1 | termcolor | 2.4.0 | terminado | 0.17.1 |
| textual | 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 |
| torch | 2.3.1+cpu | torcheval | 0.0.7 | torchvision | 0.18.1+cpu |
| tornado | 6.3.2 | tqdm | 4.65.0 | traitlets | 5.7.1 |
| transformers | 4.41.2 | 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 | unattended-upgrades | 0,1 |
| urllib3 | 1.26.16 | virtualenv | 20.24.2 | visions | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.2 | wcwidth | 0.2.5 |
| weasel | 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-profiling | 4.5.1 | zipp | 3.11.0 |
| zstd | 1.5.5.1 |
Bibliotecas de Python en clústeres de GPU
| Biblioteca | Versión | Biblioteca | Versión | Biblioteca | Versión |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.31.0 | 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 | 1.30.2 |
| azure-cosmos | 4.3.1 | azure-identity | 1.17.1 | 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 | blis | 0.7.11 | boto3 | 1.34.39 |
| botocore | 1.34.39 | Brotli | 1.0.9 | cachetools | 5.4.0 |
| catalogue | 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 | click | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.2 | multicolor | 0.5.6 |
| comm | 0.1.2 | confection | 0.1.4 | configparser | 5.2.0 |
| contourpy | 1.0.5 | criptografía | 41.0.3 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.6.0 | databricks-sdk | 0.20.0 |
| dataclasses-json | 0.6.7 | conjuntos de datos | 2.19.1 | dbl-tempo | 0.1.26 |
| dbus-python | 1.2.18 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.14.4 | defusedxml | 0.7.1 | En desuso | 1.2.14 |
| 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 | ejecutar | 0.8.3 | facets-overview | 1.1.1 |
| Farama-Notifications | 0.0.4 | fastjsonschema | 2.20.0 | fasttext | 0.9.2 |
| filelock | 3.13.4 | flash-attn | 2.5.9.post1 | 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 | 2.7.1 | 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 | Gimnasio | 0.28.1 | h11 | 0.14.0 |
| h5py | 3.10.0 | hjson | 3.1.0 | holidays | 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 | 0.23.4 |
| idna | 3.4 | ImageHash | 4.3.1 | imageio | 2.31.1 |
| imbalanced-learn | 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 | 3.0.0 | 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 | 3.2.1 | 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 | marshmallow | 3.21.2 |
| matplotlib | 3.7.2 | matplotlib-inline | 0.1.6 | mdit-py-plugins | 0.3.0 |
| mdurl | 0.1.0 | memray | 1.13.4 | mistune | 0.8.4 |
| ml-dtypes | 0.3.2 | mlflow-skinny | 2.13.1 | more-itertools | 8.10.0 |
| mosaicml-streaming | 0.7.4 | mpmath | 1.3.0 | msal | 1.30.0 |
| msal-extensions | 1.2.0 | msgpack | 1.0.8 | multidict | 6.0.2 |
| multimethod | 1.12 | 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-ml-py | 12.555.43 |
| nvidia-nccl-cu12 | 2.20.5 | nvidia-nvjitlink-cu12 | 12.5.82 | nvidia-nvtx-cu12 | 12.1.105 |
| oauthlib | 3.2.0 | oci | 2.126.4 | openai | 1.35.3 |
| opencensus==0.7.13 | 0.11.4 | opencensus-context==0.1.2 | 0.1.3 | opentelemetry-api | 1.25.0 |
| opentelemetry-sdk | 1.25.0 | opentelemetry-semantic-conventions | 0.46b0 | opt-einsum | 3.3.0 |
| optree | 0.12.1 | orjson | 3.10.6 | empaquetado | 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 | 2.10.1 | preshed | 3.0.9 |
| prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 | prophet | 1.1.5 |
| proto-plus | 1.24.0 | 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 | 2.13.1 | 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 | pyodbc | 4.0.38 |
| pyOpenSSL | 23.2.0 | pyparsing | 3.0.9 | pyrsistent | 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 |
| Ray | 2.20.0 | regex | 2022.7.9 | requests | 2.31.0 |
| requests-oauthlib | 1.3.1 | rich | 13.7.1 | rsa | 4,9 |
| s3transfer | 0.10.2 | 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 | sentence-transformers | 2.7.0 |
| sentencepiece | 0.1.99 | setuptools | 68.0.0 | shap | 0.44.0 |
| simplejson | 3.17.6 | six (seis) | 1.16.0 | segmentación | 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 | 0.5.1 | 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 | 0.37.1 |
| termcolor | 2.4.0 | terminado | 0.17.1 | textual | 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 | torch | 2.3.1+cu121 |
| torcheval | 0.0.7 | torchvision | 0.18.1+cu121 | tornado | 6.3.2 |
| tqdm | 4.65.0 | traitlets | 5.7.1 | transformers | 4.41.2 |
| triton | 2.3.1 | 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 | unattended-upgrades | 0,1 |
| urllib3 | 1.26.16 | virtualenv | 20.24.2 | visions | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.2 | wcwidth | 0.2.5 |
| weasel | 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-profiling | 4.5.1 | zipp | 3.11.0 |
| zstd | 1.5.5.1 |
Bibliotecas de R
Las bibliotecas de R son idénticas a las bibliotecas de R de Databricks Runtime 15.4 LTS.
Bibliotecas de Java y Scala (clúster de Scala 2.12)
Además de las bibliotecas de Java y Scala de Databricks Runtime 15.4 LTS, Databricks Runtime 15.4 LTS ML contiene los siguientes JAR:
Clústeres de CPU
| Identificador de grupo | Identificador de artefacto | Versión |
|---|---|---|
| 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 | 2.11.1 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Clústeres de GPU
| Identificador de grupo | Identificador de artefacto | Versión |
|---|---|---|
| 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 | 2.11.1 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |