Databricks Runtime 14.2 para EoS (Machine Learning)
Observação
O suporte para esta versão do Databricks Runtime foi encerrado. Para obter a data de fim do suporte, consulte o Histórico de fim do suporte. Para todas as versões compatíveis do Databricks Runtime, consulte Versões e compatibilidade de notas sobre a versão do Databricks Runtime.
O Databricks Runtime 14.2 para Machine Learning fornece um ambiente pronto para uso para aprendizado de máquina e ciência de dados com base no Databricks Runtime 14.2 (EoS). O Databricks Runtime ML contém muitas bibliotecas de aprendizado de máquina populares, inclusive TensorFlow, PyTorch e XGBoost. O Databricks Runtime ML inclui o AutoML, uma ferramenta para treinamento automático de pipelines de aprendizado de máquina. O Databricks Runtime ML também oferece suporte ao treinamento de aprendizado profundo distribuído com o uso do Horovod.
Dica
Para ver as notas sobre a versão das versões do Databricks Runtime que chegaram ao fim do suporte (EoS), confira Notas sobre as versões do Databricks Runtime em fim de suporte. As versões do Databricks Runtime EoS foram desativadas e podem não ser atualizadas.
Novos recursos e aprimoramentos
O Databricks Runtime 14.2 ML foi desenvolvido com base no Databricks Runtime 14.2. Para obter informações sobre as novidades do Databricks Runtime 14.2, incluindo o Apache Spark MLlib e o SparkR, confira as notas sobre a versão do Databricks Runtime 14.2 (EoS).
Ambiente do sistema
O ambiente do sistema no Databricks Runtime 14.2 ML é diferente do Databricks Runtime 14.2 nos seguintes aspectos:
- DBUtils: O Databricks Runtime ML não inclui Utilitário de biblioteca (dbutils.library) (herdado).
Use os comandos
%pip. Confira as bibliotecas Python no escopo do notebook. - Para clusters de GPU, o Databricks Runtime ML inclui as seguintes bibliotecas de GPU NVIDIA:
- CUDA 11.8
- cuDNN 8.9.0.131-1
- NCCL 2.15.5
- TensorRT 8.5.3-1
O Databricks Runtime 14.2 ML inclui o XGBoost 1.7.6, que não dá suporte a clusters de GPU com capacidade de computação 5.2 e inferior.
Bibliotecas
As seções a seguir listam as bibliotecas incluídas no Databricks Runtime 14.2 ML que são diferentes daquelas incluídas no Databricks Runtime 14.2.
Nesta seção:
- Bibliotecas de camada superior
- Bibliotecas do Python
- Bibliotecas do R
- Bibliotecas do Java e do Scala (cluster do Scala 2.12)
Bibliotecas de camada superior
O Databricks Runtime 14.2 ML inclui as seguintes bibliotecas de camada superior:
- GraphFrames
- Horovod e HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow
- TensorBoard
- Scikit-learn
Bibliotecas do Python
O Databricks Runtime 14.2 ML usa o virtualenv para o gerenciamento de pacotes Python e inclui vários pacotes populares de ML.
Além dos pacotes especificados nas próximas seções, o Databricks Runtime 14.2 ML também inclui os seguintes pacotes:
- hyperopt 0.2.7+db4
- sparkdl 3.0.0_db1
- automl 1.23.0
Para reproduzir o ambiente do Databricks Runtime ML para Python no ambiente virtual local do Python, baixe o arquivo requirements-14.2.txt e execute pip install -r requirements-14.2.txt. Esse comando instala todas as bibliotecas código aberto que o Databricks Runtime ML usa, mas não instala bibliotecas desenvolvidas pelo Databricks, como databricks-automl, databricks-feature-store, ou o fork do Databricks de hyperopt.
Bibliotecas do Python em clusters de CPU
| Biblioteca | Versão | Biblioteca | Versão | Biblioteca | Versão |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.23.0 | aiohttp | 3.8.6 |
| 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 |
| asttokens | 2.0.5 | astunparse | 1.6.3 | async-timeout | 4.0.3 |
| attrs | 22.1.0 | audioread | 3.0.1 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.18.3 | azure-storage-file-datalake | 12.13.2 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.11 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.2 | catalogue | 2.0.10 | category-encoders | 2.6.2 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | clique | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.0.0 | cmdstanpy | 1.2.0 | comm | 0.1.2 |
| confecção | 0.1.3 | configparser | 5.2.0 | contourpy | 1.0.5 |
| criptografia | 39.0.1 | cycler | 0.11.0 | cymem | 2.0.8 |
| Cython | 0.29.32 | dacite | 1.8.1 | databricks-automl-runtime | 0.2.20 |
| databricks-cli | 0.18.0 | databricks-feature-engineering | 0.1.2 | databricks-feature-store | 0.16.1 |
| databricks-sdk | 0.1.6 | dataclasses-json | 0.6.1 | conjuntos de dados | 2.14.5 |
| dbl-tempo | 0.1.26 | dbus-python | 1.2.18 | debugpy | 1.6.7 |
| decorator | 5.1.1 | deepspeed | 0.11.1 | defusedxml | 0.7.1 |
| dill | 0.3.6 | diskcache | 5.6.3 | distlib | 0.3.7 |
| docstring-to-markdown | 0,11 | entrypoints | 0,4 | evaluate | 0.4.1 |
| executando | 0.8.3 | facets-overview | 1.1.1 | fastjsonschema | 2.18.1 |
| 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 | 2023.6.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.27 | google-api-core | 2.12.0 |
| google-auth | 2.21.0 | google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 |
| google-cloud-storage | 2.11.0 | google-crc32c | 1.5.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.6.0 | googleapis-common-protos | 1.61.0 | greenlet | 2.0.1 |
| grpcio | 1.48.2 | grpcio-status | 1.48.1 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| feriados | 0,35 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | huggingface-hub | 0.16.4 | idna | 3.4 |
| ImageHash | 4.3.1 | imbalanced-learn | 0.11.0 | importlib-metadata | 4.11.3 |
| importlib_resources | 6.1.0 | 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 | jsonpatch | 1.33 | jsonpointer | 2.4 |
| 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 | 2.14.0 | keyring | 23.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.0.314 | langcodes | 3.3.0 | langsmith | 0.0.56 |
| 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 | 4.1.0 | llvmlite | 0.39.1 | 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 | ml-dtypes | 0.2.0 |
| mlflow-skinny | 2.8.0 | more-itertools | 8.10.0 | mpmath | 1.2.1 |
| msgpack | 1.0.7 | multidict | 6.0.4 | multimethod | 1,10 |
| multiprocess | 0.70.14 | murmurhash | 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 | 1.11.1.1 | nltk | 3.7 | nodeenv | 1.8.0 |
| notebook | 6.5.2 | notebook_shim | 0.2.2 | numba | 0.56.4 |
| numpy | 1.23.5 | oauthlib | 3.2.0 | openai | 0.28.1 |
| opt-einsum | 3.3.0 | empacotando | 22.0 | pandas | 1.5.3 |
| pandocfilters | 1.5.0 | paramiko | 2.9.2 | parso | 0.8.3 |
| pathspec | 0.10.3 | pathy | 0.10.3 | 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 | prophet | 1.1.5 |
| 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 | 3.1.0 | Pygments | 2.11.2 | PyGObject | 3.42.1 |
| PyJWT | 2.3.0 | PyNaCl | 1.5.0 | pyodbc | 4.0.32 |
| pyparsing | 3.0.9 | pyright | 1.1.294 | 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-lsp-server | 1.8.0 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6,0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | solicitações | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | rope | 1.7.0 |
| rsa | 4.9 | s3transfer | 0.6.2 | safetensors | 0.4.0 |
| scikit-learn | 1.1.1 | scipy | 1.10.0 | seaborn | 0.12.2 |
| SecretStorage | 3.3.1 | Send2Trash | 1.8.0 | sentence-transformers | 2.2.2 |
| sentencepiece | 0.1.99 | setuptools | 65.6.3 | shap | 0.43.0 |
| simplejson | 3.17.6 | six | 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 | 2.3.2.post1 | soxr | 0.3.7 |
| spacy | 3.7.1 | 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 | 0.3.0 | statsmodels | 0.13.5 | sympy | 1.11.1 |
| tabulate | 0.8.10 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 |
| tensorboard | 2.14.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.14.0 |
| tensorflow-cpu | 2.14.0 | tensorflow-estimator | 2.14.0 | tensorflow-io-gcs-filesystem | 0.34.0 |
| termcolor | 2.3.0 | terminado | 0.17.1 | thinc | 8.2.1 |
| threadpoolctl | 2.2.0 | tiktoken | 0.5.1 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | criadores de token | 0.14.0 | tomli | 2.0.1 |
| torch | 2.0.1+cpu | torchvision | 0.15.2+cpu | tornado | 6.1 |
| tqdm | 4.64.1 | traitlets | 5.7.1 | transformers | 4.34.0 |
| typeguard | 2.13.3 | typer | 0.9.0 | typing-inspect | 0.9.0 |
| typing_extensions | 4.4.0 | ujson | 5.4.0 | unattended-upgrades | 0,1 |
| urllib3 | 1.26.14 | virtualenv | 20.16.7 | visions | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.2 | wcwidth | 0.2.5 |
| weasel | 0.3.3 | webencodings | 0.5.1 | websocket-client | 0.58.0 |
| 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 | 3.4.1 | yapf | 0.33.0 |
| yarl | 1.9.2 | ydata-profiling | 4.2.0 | zipp | 3.11.0 |
Bibliotecas do Python em clusters de GPU
| Biblioteca | Versão | Biblioteca | Versão | Biblioteca | Versão |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | accelerate | 0.23.0 | aiohttp | 3.8.6 |
| 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 |
| asttokens | 2.0.5 | astunparse | 1.6.3 | async-timeout | 4.0.3 |
| attrs | 22.1.0 | audioread | 3.0.1 | azure-core | 1.29.1 |
| azure-cosmos | 4.3.1 | azure-storage-blob | 12.18.3 | azure-storage-file-datalake | 12.13.2 |
| backcall | 0.2.0 | bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 |
| black | 22.6.0 | bleach | 4.1.0 | blinker | 1.4 |
| blis | 0.7.11 | boto3 | 1.24.28 | botocore | 1.27.96 |
| cachetools | 5.3.2 | catalogue | 2.0.10 | category-encoders | 2.6.2 |
| certifi | 2022.12.7 | cffi | 1.15.1 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | clique | 8.0.4 | cloudpathlib | 0.16.0 |
| cloudpickle | 2.0.0 | cmake | 3.27.7 | cmdstanpy | 1.2.0 |
| comm | 0.1.2 | confecção | 0.1.3 | configparser | 5.2.0 |
| contourpy | 1.0.5 | criptografia | 39.0.1 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 0.29.32 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.20 | databricks-cli | 0.18.0 | databricks-feature-engineering | 0.1.2 |
| databricks-feature-store | 0.16.1 | databricks-sdk | 0.1.6 | dataclasses-json | 0.6.1 |
| conjuntos de dados | 2.14.5 | dbl-tempo | 0.1.26 | dbus-python | 1.2.18 |
| debugpy | 1.6.7 | decorator | 5.1.1 | deepspeed | 0.11.1 |
| defusedxml | 0.7.1 | dill | 0.3.6 | diskcache | 5.6.3 |
| distlib | 0.3.7 | docstring-to-markdown | 0,11 | einops | 0.7.0 |
| entrypoints | 0,4 | evaluate | 0.4.1 | executando | 0.8.3 |
| facets-overview | 1.1.1 | fastjsonschema | 2.18.1 | fasttext | 0.9.2 |
| filelock | 3.9.0 | flash-attn | 2.3.2 | Flask | 2.2.5 |
| flatbuffers | 23.5.26 | fonttools | 4.25.0 | frozenlist | 1.4.0 |
| fsspec | 2023.6.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.27 | google-api-core | 2.12.0 |
| google-auth | 2.21.0 | google-auth-oauthlib | 1.0.0 | google-cloud-core | 2.3.3 |
| google-cloud-storage | 2.11.0 | google-crc32c | 1.5.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.6.0 | googleapis-common-protos | 1.61.0 | greenlet | 2.0.1 |
| grpcio | 1.48.2 | grpcio-status | 1.48.1 | gunicorn | 20.1.0 |
| gviz-api | 1.10.0 | h5py | 3.7.0 | hjson | 3.1.0 |
| feriados | 0,35 | horovod | 0.28.1 | htmlmin | 0.1.12 |
| httplib2 | 0.20.2 | huggingface-hub | 0.16.4 | idna | 3.4 |
| ImageHash | 4.3.1 | imbalanced-learn | 0.11.0 | importlib-metadata | 4.11.3 |
| importlib_resources | 6.1.0 | 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 | jsonpatch | 1.33 | jsonpointer | 2.4 |
| 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 | 2.14.0 | keyring | 23.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.0.314 | langcodes | 3.3.0 | langsmith | 0.0.56 |
| 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 | 4.1.0 | lit | 17.0.4 | llvmlite | 0.39.1 |
| 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 |
| ml-dtypes | 0.2.0 | mlflow-skinny | 2.8.0 | more-itertools | 8.10.0 |
| mpmath | 1.2.1 | msgpack | 1.0.7 | multidict | 6.0.4 |
| multimethod | 1,10 | multiprocess | 0.70.14 | murmurhash | 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 | 1.11.1.1 | nltk | 3.7 |
| nodeenv | 1.8.0 | notebook | 6.5.2 | notebook_shim | 0.2.2 |
| numba | 0.56.4 | numpy | 1.23.5 | oauthlib | 3.2.0 |
| openai | 0.28.1 | opt-einsum | 3.3.0 | empacotando | 22.0 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
| parso | 0.8.3 | pathspec | 0.10.3 | pathy | 0.10.3 |
| 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 | prophet | 1.1.5 |
| 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 | 3.1.0 | Pygments | 2.11.2 | PyGObject | 3.42.1 |
| PyJWT | 2.3.0 | PyNaCl | 1.5.0 | pyodbc | 4.0.32 |
| pyparsing | 3.0.9 | pyright | 1.1.294 | 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-lsp-server | 1.8.0 | pytoolconfig | 1.2.5 |
| pytz | 2022.7 | PyWavelets | 1.4.1 | PyYAML | 6,0 |
| pyzmq | 23.2.0 | regex | 2022.7.9 | solicitações | 2.28.1 |
| requests-oauthlib | 1.3.1 | responses | 0.18.0 | rope | 1.7.0 |
| rsa | 4.9 | s3transfer | 0.6.2 | safetensors | 0.4.0 |
| scikit-learn | 1.1.1 | scipy | 1.10.0 | seaborn | 0.12.2 |
| SecretStorage | 3.3.1 | Send2Trash | 1.8.0 | sentence-transformers | 2.2.2 |
| sentencepiece | 0.1.99 | setuptools | 65.6.3 | shap | 0.43.0 |
| simplejson | 3.17.6 | six | 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 | 2.3.2.post1 | soxr | 0.3.7 |
| spacy | 3.7.1 | 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 | 0.3.0 | statsmodels | 0.13.5 | sympy | 1.11.1 |
| tabulate | 0.8.10 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 |
| tensorboard | 2.14.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.14.0 |
| tensorflow | 2.14.0 | tensorflow-estimator | 2.14.0 | tensorflow-io-gcs-filesystem | 0.34.0 |
| termcolor | 2.3.0 | terminado | 0.17.1 | thinc | 8.2.1 |
| threadpoolctl | 2.2.0 | tiktoken | 0.5.1 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | criadores de token | 0.14.0 | tomli | 2.0.1 |
| torch | 2.0.1+cu118 | torchvision | 0.15.2+cu118 | tornado | 6.1 |
| tqdm | 4.64.1 | traitlets | 5.7.1 | transformers | 4.34.0 |
| 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 |
| unattended-upgrades | 0,1 | urllib3 | 1.26.14 | virtualenv | 20.16.7 |
| visions | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.2 |
| wcwidth | 0.2.5 | weasel | 0.3.3 | webencodings | 0.5.1 |
| websocket-client | 0.58.0 | 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 | 3.4.1 |
| yapf | 0.33.0 | yarl | 1.9.2 | ydata-profiling | 4.2.0 |
| zipp | 3.11.0 |
Bibliotecas do R
As bibliotecas R são idênticas às Bibliotecas R do Databricks Runtime 14.2.
Bibliotecas do Java e do Scala (cluster do Scala 2.12)
Além das bibliotecas Java e Scala no Databricks Runtime 14.2, o Databricks Runtime 14.2 ML contém os seguintes JARs:
Clusters de CPU
| ID do Grupo | Artifact ID | Versão |
|---|---|---|
| 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 | 2.8.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Clusters de GPU
| ID do Grupo | Artifact ID | Versão |
|---|---|---|
| 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 | 2.8.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |