Databricks Runtime 14.2 para Machine Learning
O Databricks Runtime 14.2 para Machine Learning fornece um ambiente pronto para uso em aprendizado de máquina e ciência de dados baseado no Databricks Runtime 14.2. 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.
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 Apache Spark MLlib e SparkR, consulte as notas sobre a versão do Databricks Runtime 14.2.
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 |