Databricks Runtime 14.2 per Machine Learning (EoS)
Nota
Il supporto per questa versione di Databricks Runtime è terminato. Per la data di fine del supporto, vedere Cronologia di fine del supporto. Per tutte le versioni supportate di Databricks Runtime, vedere Versioni e compatibilità delle note sulla versione di Databricks Runtime.
Databricks Runtime 14.2 per Machine Learning offre un ambiente pronto per l'apprendimento automatico e l'analisi scientifica dei dati basata su Databricks Runtime 14.2 (EoS). Databricks Runtime per Machine Learning contiene molte di queste librerie, tra cui TensorFlow, PyTorch, Keras e XGBoost. Databricks Runtime ML include AutoML, uno strumento per eseguire automaticamente il training delle pipeline di Machine Learning. Azure Databricks supporta il training di Deep Learning distribuito tramite HorovodRunner e il pacchetto .
Suggerimento
Per visualizzare le note sulla versione per le versioni di Databricks Runtime che hanno raggiunto la fine del supporto (EoS), vedere Note sulla versione della fine del supporto di Databricks Runtime. Le versioni EoS di Databricks Runtime sono state ritirate e potrebbero non essere aggiornate.
Miglioramenti e nuove funzionalità
Databricks Runtime 14.2 ML è basato su Databricks Runtime 14.2. Per informazioni sulle novità di Databricks Runtime 14.2, tra cui Apache Spark MLlib e SparkR, vedere le note sulla versione di Databricks Runtime 14.2 (EoS).
Ambiente di sistema
L'ambiente di sistema in Databricks Runtime 14.2 ML differisce da Databricks Runtime 14.2 come indicato di seguito:
- DBUtils: Databricks Runtime ML non include l'utilità libreria (dbutils.library) (legacy)..
Usare
%pip
invece 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 14.2 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 14.2 ML che differiscono da quelle incluse in Databricks Runtime 14.2.
Contenuto della sezione:
Librerie di livello superiore
Databricks Runtime 14.2 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 14.2 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 14.2 ML include anche i pacchetti seguenti:
- hyperopt 0.2.7+db4
- sparkdl 3.0.0_db1
- automl 1.23.0
Per riprodurre l'ambiente Python di Databricks Runtime ML nell'ambiente virtuale Python locale, scaricare il file di requirements-14.2.txt ed eseguire pip install -r requirements-14.2.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-store
o il fork di Databricks di hyperopt
.
Librerie Python nei cluster CPU
Library | Versione | Library | Versione | Library | Versione |
---|---|---|---|---|---|
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 |
asttoken | 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 | click | 8.0.4 | cloudpathlib | 0.16.0 |
cloudpickle | 2.0.0 | cmdstanpy | 1.2.0 | serv | 0.1.2 |
confection | 0.1.3 | configparser | 5.2.0 | contourpy | 1.0.5 |
cryptography | 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 | datasets | 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 |
executing | 0.8.3 | facet-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 |
holidays | 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 | packaging | 22.0 | pandas | 1.5.3 |
pandocfilters | 1.5.0 | paramiko | 2.9.2 | parso | 0.8.3 |
pathspec | 0.10.3 | patia | 0.10.3 | 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 | requests | 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-logger | 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 | tokenizers | 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 |
Librerie Python nei cluster GPU
Library | Versione | Library | Versione | Library | Versione |
---|---|---|---|---|---|
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 |
asttoken | 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 | click | 8.0.4 | cloudpathlib | 0.16.0 |
cloudpickle | 2.0.0 | cmake | 3.27.7 | cmdstanpy | 1.2.0 |
serv | 0.1.2 | confection | 0.1.3 | configparser | 5.2.0 |
contourpy | 1.0.5 | cryptography | 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 |
datasets | 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 | executing | 0.8.3 |
facet-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 |
holidays | 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 | packaging | 22.0 |
pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
parso | 0.8.3 | pathspec | 0.10.3 | patia | 0.10.3 |
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 | requests | 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-logger | 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 | tokenizers | 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 |
Librerie R
Le librerie R sono identiche alle librerie R in Databricks Runtime 14.2.
Librerie Java e Scala (cluster Scala 2.12)
Oltre alle librerie Java e Scala in Databricks Runtime 14.2, Databricks Runtime 14.2 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 | 2.8.0 |
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 | 2.8.0 |
org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |