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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 13.2 per Machine Learning è un ambiente pronto all’uso ottimizzato per l'esecuzione di processi di apprendimento automatico e data science basato su Databricks Runtime 13.2 (EoS). Databricks Runtime ML contiene molte di queste popolari librerie per l’apprendimento automatico, 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 inoltre il training di Deep Learning distribuito tramite Horovod.
Per altre informazioni, incluse le istruzioni per la creazione di un cluster di Databricks Runtime ML, vedere IA e Machine Learning in Databricks.
Databricks Runtime 13.2 ML è basato su Databricks Runtime 13.2. Per informazioni sulle novità di Databricks Runtime 13.2, tra cui Apache Spark MLlib e SparkR, vedere le note sulla versione di Databricks Runtime 13.2 (EoS).
mlflow-skinny
minima richiesta è ora 2.4.0.L'ambiente di sistema in Databricks Runtime 13.2 ML differisce da Databricks Runtime 13.2 come indicato di seguito:
%pip
. Vedere Librerie Python con ambito notebook.Databricks Runtime 13.2 ML include XGBoost 1.7.3, che non supporta cluster GPU con capacità di calcolo 5.2 e versioni precedenti.
Le sezioni seguenti elencano le librerie incluse in Databricks Runtime 13.2 ML che differiscono da quelle incluse in Databricks Runtime 13.2.
Databricks Runtime 13.2 ML include le librerie di livello superiore seguenti:
Databricks Runtime 13.2 ML usa Virtualenv per la gestione dei pacchetti Python e include molti dei pacchetti ML più diffusi.
Oltre ai pacchetti specificati nelle sezioni seguenti, Databricks Runtime 13.2 ML include anche i pacchetti seguenti:
Per riprodurre l'ambiente Python di Databricks Runtime ML nell'ambiente virtuale Python locale, scaricare il file requirements-13.2.txt ed eseguire pip install -r requirements-13.2.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 la creazione di copia tramite fork di Databricks di hyperopt
.
Libreria | Versione | Libreria | Versione | Libreria | Versione |
---|---|---|---|---|---|
absl-py | 1.0.0 | accelerate | 0.19.0 | aiohttp | 3.8.4 |
aiosignal | 1.3.1 | appdirs | 1.4.4 | argon2-cffi | 21.3.0 |
argon2-cffi-bindings | 21.2.0 | astor | 0.8.1 | asttoken | 2.2.1 |
astunparse | 1.6.3 | async-timeout | 4.0.2 | attrs | 21.4.0 |
audioread | 3.0.0 | azure-core | 1.27.1 | azure-cosmos | 4.3.1b1 |
azure-storage-blob | 12.17.0b1 | azure-storage-file-datalake | 12.11.0 | backcall | 0.2.0 |
bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 | black | 22.6.0 |
bleach | 4.1.0 | blinker | 1.4 | blis | 0.7.9 |
boto3 | 1.24.28 | botocore | 1.27.28 | cachetools | 4.2.4 |
catalogue | 2.0.8 | category-encoders | 2.6.0 | certifi | 2022.9.14 |
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 |
confection | 0.0.4 | configparser | 5.2.0 | convertdate | 2.4.0 |
Crittografia | 37.0.1 | cycler | 0.11.0 | cymem | 2.0.7 |
Cython | 0.29.32 | dacite | 1.8.1 | databricks-automl-runtime | 0.2.16 |
databricks-cli | 0.17.7 | databricks-feature-store | 0.13.1 | databricks-sdk | 0.1.6 |
dataclasses-json | 0.5.8 | datasets | 2.12.0 | dbl-tempo | 0.1.23 |
dbus-python | 1.2.18 | debugpy | 1.5.1 | decorator | 5.1.1 |
defusedxml | 0.7.1 | dill | 0.3.4 | diskcache | 5.6.1 |
distlib | 0.3.6 | docstring-to-markdown | 0.12 | entrypoints | 0.4 |
ephem | 4.1.4 | evaluate | 0.4.0 | executing | 1.2.0 |
facet-overview | 1.0.3 | fastjsonschema | 2.17.1 | fasttext | 0.9.2 |
filelock | 3.6.0 | Flask | 1.1.2+db1 | flatbuffers | 23.5.26 |
fonttools | 4.25.0 | frozenlist | 1.3.3 | fsspec | 2022.7.1 |
future | 0.18.2 | gast | 0.4.0 | gitdb | 4.0.10 |
GitPython | 3.1.27 | google-api-core | 2.8.2 | google-auth | 1.33.0 |
google-auth-oauthlib | 0.4.6 | google-cloud-core | 2.3.2 | google-cloud-storage | 2.9.0 |
google-crc32c | 1.5.0 | google-pasta | 0.2.0 | google-resumable-media | 2.5.0 |
googleapis-common-protos | 1.56.4 | greenlet | 1.1.1 | grpcio | 1.48.1 |
grpcio-status | 1.48.1 | gunicorn | 20.1.0 | gviz-api | 1.10.0 |
h5py | 3.7.0 | festività | 0.25 | horovod | 0.28.0 |
htmlmin | 0.1.12 | httplib2 | 0.20.2 | huggingface-hub | 0.15.1 |
idna | 3.3 | ImageHash | 4.3.1 | imbalanced-learn | 0.8.1 |
importlib-metadata | 4.11.3 | importlib-resources | 5.12.0 | ipykernel | 6.17.1 |
ipython | 8.10.0 | 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 | 2.11.3 | jmespath | 0.10.0 |
joblib | 1.2.0 | joblibspark | 0.5.1 | jsonschema | 4.16.0 |
jupyter-client | 7.3.4 | jupyter_core | 4.11.2 | jupyterlab-pygments | 0.1.2 |
jupyterlab-widgets | 1.0.0 | keras | 2.11.0 | keyring | 23.5.0 |
kiwisolver | 1.4.2 | korean-lunar-calendar | 0.3.1 | langchain | 0.0.181 |
langcodes | 3.3.0 | launchpadlib | 1.10.16 | lazr.restfulclient | 0.14.4 |
lazr.uri | 1.0.6 | lazy_loaderopenai | 0.2 | libclang | 15.0.6.1 |
librosa | 0.10.0 | lightgbm | 3.3.5 | llvmlite | 0.38.0 |
LunarCalendar | 0.0.9 | Mako | 1.2.0 | Markdown | 3.3.4 |
MarkupSafe | 2.0.1 | marshmallow | 3.19.0 | marshmallow-enum | 1.5.1 |
matplotlib | 3.5.2 | matplotlib-inline | 0.1.6 | mccabe | 0.7.0 |
mistune | 0.8.4 | mleap | 0.20.0 | mlflow-skinny | 2.4.1 |
more-itertools | 8.10.0 | msgpack | 1.0.5 | multidict | 6.0.4 |
multimethod | 1.9.1 | multiprocess | 0.70.12.2 | mormurhash | 1.0.9 |
mypy-extensions | 0.4.3 | nbclient | 0.5.13 | nbconvert | 6.4.4 |
nbformat | 5.5.0 | nest-asyncio | 1.5.5 | networkx | 2.8.4 |
ninja | 1.11.1 | nltk | 3.7 | nodeenv | 1.8.0 |
notebook | 6.4.12 | numba | 0.55.1 | numexpr | 2.8.4 |
numpy | 1.21.5 | oauthlib | 3.2.0 | openai | 0.27.7 |
openapi-schema-pydantic | 1.2.4 | opt-einsum | 3.3.0 | creazione del pacchetto | 21.3 |
pandas | 1.4.4 | pandocfilters | 1.5.0 | paramiko | 2.9.2 |
parso | 0.8.3 | pathspec | 0.9.0 | patia | 0.10.1 |
patsy | 0.5.2 | petastorm | 0.12.1 | pexpect | 4.8.0 |
phik | 0.12.3 | pickleshare | 0.7.5 | Pillow | 9.2.0 |
pip | 22.2.2 | platformdirs | 2.5.2 | plotly | 5.9.0 |
pluggy | 1.0.0 | pmdarima | 2.0.3 | pooch | 1.7.0 |
preshed | 3.0.8 | prometheus-client | 0.14.1 | prompt-toolkit | 3.0.36 |
prophet | 1.1.3 | protobuf | 3.19.4 | psutil | 5.9.0 |
psycopg2 | 2.9.3 | ptyprocess | 0.7.0 | pure-eval | 0.2.2 |
pyarrow | 8.0.0 | pyasn1 | 0.4.8 | pyasn1-modules | 0.2.8 |
pybind11 | 2.10.4 | pycparser | 2.21 | pydantic | 1.10.6 |
pyflakes | 3.0.1 | Pygments | 2.11.2 | PyGObjec | 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 |
pyrsistent | 0.18.0 | pytesseract | 0.3.10 | python-dateutil | 2.8.2 |
python-editor | 1.0.4 | python-lsp-jsonrpc | 1.0.0 | python-lsp-server | 1.7.1 |
pytoolconfig | 1.2.2 | pytz | 2022.1 | PyWavelets | 1.3.0 |
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 | 0.6.0 |
scikit-learn | 1.1.1 | scipy | 1.9.1 | seaborn | 0.11.2 |
SecretStorage | 3.3.1 | Send2Trash | 1.8.0 | sentence-transformers | 2.2.2 |
sentencepiece | 0.1.99 | setuptools | 63.4.1 | shap | 0.41.0 |
simplejson | 3.17.6 | sei | 1.16.0 | filtro dei dati | 0.0.7 |
smart-open | 5.2.1 | smmap | 5.0.0 | soundfile | 0.12.1 |
soupsieve | 2.3.1 | soxr | 0.3.5 | spacy | 3.5.3 |
spacy-legacy | 3.0.12 | spacy-logger | 1.0.4 | spark-tensorflow-distributor | 1.0.0 |
SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 | srsly | 2.4.6 |
ssh-import-id | 5.11 | stack-data | 0.6.2 | statsmodels | 0.13.2 |
tabulate | 0.8.10 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.1.0 |
tensorboard | 2.11.0 | tensorboard-data-server | 0.6.1 | tensorboard-plugin-profile | 2.11.2 |
tensorboard-plugin-wit | 1.8.1 | tensorflow-cpu | 2.11.0 | tensorflow-estimator | 2.11.0 |
tensorflow-io-gcs-filesystem | 0.32.0 | termcolor | 2.3.0 | terminado | 0.13.1 |
testpath | 0.6.0 | thinc | 8.1.10 | threadpoolctl | 2.2.0 |
tiktoken | 0.4.0 | tokenize-rt | 4.2.1 | tokenizers | 0.13.3 |
tomli | 2.0.1 | torch | 1.13.1+cpu | torchvision | 0.14.1+cpu |
tornado | 6.1 | tqdm | 4.64.1 | traitlets | 5.1.1 |
transformers | 4.29.2 | typeguard | 2.13.3 | typer | 0.7.0 |
typing-inspect | 0.9.0 | typing_extensions | 4.3.0 | ujson | 5.4.0 |
unattended-upgrades | 0.1 | urllib3 | 1.26.11 | virtualenv | 20.16.3 |
visions | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.2 |
wcwidth | 0.2.5 | webencodings | 0.5.1 | websocket-client | 0.58.0 |
Werkzeug | 2.0.3 | whatthepatch | 1.0.2 | wheel | 0.37.1 |
widgetsnbextension | 3.6.1 | wordcloud | 1.9.2 | wrapt | 1.14.1 |
xgboost | 1.7.5 | xxhash | 3.2.0 | yapf | 0.31.0 |
yarl | 1.9.2 | ydata-profiling | 4.2.0 | zipp | 3.8.0 |
Libreria | Versione | Libreria | Versione | Libreria | Versione |
---|---|---|---|---|---|
absl-py | 1.0.0 | accelerate | 0.19.0 | aiohttp | 3.8.4 |
aiosignal | 1.3.1 | appdirs | 1.4.4 | argon2-cffi | 21.3.0 |
argon2-cffi-bindings | 21.2.0 | astor | 0.8.1 | asttoken | 2.2.1 |
astunparse | 1.6.3 | async-timeout | 4.0.2 | attrs | 21.4.0 |
audioread | 3.0.0 | azure-core | 1.27.1 | azure-cosmos | 4.3.1b1 |
azure-storage-blob | 12.17.0b1 | azure-storage-file-datalake | 12.11.0 | backcall | 0.2.0 |
bcrypt | 3.2.0 | beautifulsoup4 | 4.11.1 | black | 22.6.0 |
bleach | 4.1.0 | blinker | 1.4 | blis | 0.7.9 |
boto3 | 1.24.28 | botocore | 1.27.28 | cachetools | 4.2.4 |
catalogue | 2.0.8 | category-encoders | 2.6.0 | certifi | 2022.9.14 |
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 |
confection | 0.0.4 | configparser | 5.2.0 | convertdate | 2.4.0 |
Crittografia | 37.0.1 | cycler | 0.11.0 | cymem | 2.0.7 |
Cython | 0.29.32 | dacite | 1.8.1 | databricks-automl-runtime | 0.2.16 |
databricks-cli | 0.17.7 | databricks-feature-store | 0.13.1 | databricks-sdk | 0.1.6 |
dataclasses-json | 0.5.8 | datasets | 2.12.0 | dbl-tempo | 0.1.23 |
dbus-python | 1.2.18 | debugpy | 1.5.1 | decorator | 5.1.1 |
defusedxml | 0.7.1 | dill | 0.3.4 | diskcache | 5.6.1 |
distlib | 0.3.6 | docstring-to-markdown | 0.12 | einops | 0.6.1 |
entrypoints | 0.4 | ephem | 4.1.4 | evaluate | 0.4.0 |
executing | 1.2.0 | facet-overview | 1.0.3 | fastjsonschema | 2.17.1 |
fasttext | 0.9.2 | filelock | 3.6.0 | flash-attn | 1.0.5 |
Flask | 1.1.2+db1 | flatbuffers | 23.5.26 | fonttools | 4.25.0 |
frozenlist | 1.3.3 | fsspec | 2022.7.1 | future | 0.18.2 |
gast | 0.4.0 | gitdb | 4.0.10 | GitPython | 3.1.27 |
google-api-core | 2.8.2 | google-auth | 1.33.0 | google-auth-oauthlib | 0.4.6 |
google-cloud-core | 2.3.2 | google-cloud-storage | 2.9.0 | google-crc32c | 1.5.0 |
google-pasta | 0.2.0 | google-resumable-media | 2.5.0 | googleapis-common-protos | 1.56.4 |
greenlet | 1.1.1 | grpcio | 1.48.1 | grpcio-status | 1.48.1 |
gunicorn | 20.1.0 | gviz-api | 1.10.0 | h5py | 3.7.0 |
festività | 0.25 | horovod | 0.28.0 | htmlmin | 0.1.12 |
httplib2 | 0.20.2 | huggingface-hub | 0.15.1 | idna | 3.3 |
ImageHash | 4.3.1 | imbalanced-learn | 0.8.1 | importlib-metadata | 4.11.3 |
importlib-resources | 5.12.0 | ipykernel | 6.17.1 | ipython | 8.10.0 |
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 | 2.11.3 | jmespath | 0.10.0 | joblib | 1.2.0 |
joblibspark | 0.5.1 | jsonschema | 4.16.0 | jupyter-client | 7.3.4 |
jupyter_core | 4.11.2 | jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 |
keras | 2.11.0 | keyring | 23.5.0 | kiwisolver | 1.4.2 |
korean-lunar-calendar | 0.3.1 | langchain | 0.0.181 | langcodes | 3.3.0 |
launchpadlib | 1.10.16 | lazr.restfulclient | 0.14.4 | lazr.uri | 1.0.6 |
lazy_loaderopenai | 0.2 | libclang | 15.0.6.1 | librosa | 0.10.0 |
lightgbm | 3.3.5 | llvmlite | 0.38.0 | LunarCalendar | 0.0.9 |
Mako | 1.2.0 | Markdown | 3.3.4 | MarkupSafe | 2.0.1 |
marshmallow | 3.19.0 | marshmallow-enum | 1.5.1 | matplotlib | 3.5.2 |
matplotlib-inline | 0.1.6 | mccabe | 0.7.0 | mistune | 0.8.4 |
mleap | 0.20.0 | mlflow-skinny | 2.4.1 | more-itertools | 8.10.0 |
msgpack | 1.0.5 | multidict | 6.0.4 | multimethod | 1.9.1 |
multiprocess | 0.70.12.2 | mormurhash | 1.0.9 | mypy-extensions | 0.4.3 |
nbclient | 0.5.13 | nbconvert | 6.4.4 | nbformat | 5.5.0 |
nest-asyncio | 1.5.5 | networkx | 2.8.4 | ninja | 1.11.1 |
nltk | 3.7 | nodeenv | 1.8.0 | notebook | 6.4.12 |
numba | 0.55.1 | numexpr | 2.8.4 | numpy | 1.21.5 |
oauthlib | 3.2.0 | openai | 0.27.7 | openapi-schema-pydantic | 1.2.4 |
opt-einsum | 3.3.0 | creazione del pacchetto | 21.3 | pandas | 1.4.4 |
pandocfilters | 1.5.0 | paramiko | 2.9.2 | parso | 0.8.3 |
pathspec | 0.9.0 | patia | 0.10.1 | patsy | 0.5.2 |
petastorm | 0.12.1 | pexpect | 4.8.0 | phik | 0.12.3 |
pickleshare | 0.7.5 | Pillow | 9.2.0 | pip | 22.2.2 |
platformdirs | 2.5.2 | plotly | 5.9.0 | pluggy | 1.0.0 |
pmdarima | 2.0.3 | pooch | 1.7.0 | preshed | 3.0.8 |
prompt-toolkit | 3.0.36 | prophet | 1.1.3 | protobuf | 3.19.4 |
psutil | 5.9.0 | psycopg2 | 2.9.3 | ptyprocess | 0.7.0 |
pure-eval | 0.2.2 | pyarrow | 8.0.0 | pyasn1 | 0.4.8 |
pyasn1-modules | 0.2.8 | pybind11 | 2.10.4 | pycparser | 2.21 |
pydantic | 1.10.6 | pyflakes | 3.0.1 | Pygments | 2.11.2 |
PyGObjec | 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 | pyrsistent | 0.18.0 | pytesseract | 0.3.10 |
python-dateutil | 2.8.2 | python-editor | 1.0.4 | python-lsp-jsonrpc | 1.0.0 |
python-lsp-server | 1.7.1 | pytoolconfig | 1.2.2 | pytz | 2022.1 |
PyWavelets | 1.3.0 | 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 | 0.6.0 | scikit-learn | 1.1.1 | scipy | 1.9.1 |
seaborn | 0.11.2 | SecretStorage | 3.3.1 | Send2Trash | 1.8.0 |
sentence-transformers | 2.2.2 | sentencepiece | 0.1.99 | setuptools | 63.4.1 |
shap | 0.41.0 | simplejson | 3.17.6 | sei | 1.16.0 |
filtro dei dati | 0.0.7 | smart-open | 5.2.1 | smmap | 5.0.0 |
soundfile | 0.12.1 | soupsieve | 2.3.1 | soxr | 0.3.5 |
spacy | 3.5.3 | spacy-legacy | 3.0.12 | spacy-logger | 1.0.4 |
spark-tensorflow-distributor | 1.0.0 | SQLAlchemy | 1.4.39 | sqlparse | 0.4.2 |
srsly | 2.4.6 | ssh-import-id | 5.11 | stack-data | 0.6.2 |
statsmodels | 0.13.2 | tabulate | 0.8.10 | tangled-up-in-unicode | 0.2.0 |
tenacity | 8.1.0 | tensorboard | 2.11.0 | tensorboard-data-server | 0.6.1 |
tensorboard-plugin-profile | 2.11.2 | tensorboard-plugin-wit | 1.8.1 | tensorflow | 2.11.0 |
tensorflow-estimator | 2.11.0 | tensorflow-io-gcs-filesystem | 0.32.0 | termcolor | 2.3.0 |
terminado | 0.13.1 | testpath | 0.6.0 | thinc | 8.1.10 |
threadpoolctl | 2.2.0 | tiktoken | 0.4.0 | tokenize-rt | 4.2.1 |
tokenizers | 0.13.3 | tomli | 2.0.1 | torch | 1.13.1+cu117 |
torchvision | 0.14.1+cu117 | tornado | 6.1 | tqdm | 4.64.1 |
traitlets | 5.1.1 | transformers | 4.29.2 | typeguard | 2.13.3 |
typer | 0.7.0 | typing-inspect | 0.9.0 | typing_extensions | 4.3.0 |
ujson | 5.4.0 | unattended-upgrades | 0.1 | urllib3 | 1.26.11 |
virtualenv | 20.16.3 | visions | 0.7.5 | wadllib | 1.3.6 |
wasabi | 1.1.2 | wcwidth | 0.2.5 | webencodings | 0.5.1 |
websocket-client | 0.58.0 | Werkzeug | 2.0.3 | whatthepatch | 1.0.2 |
wheel | 0.37.1 | widgetsnbextension | 3.6.1 | wordcloud | 1.9.2 |
wrapt | 1.14.1 | xgboost | 1.7.5 | xxhash | 3.2.0 |
yapf | 0.31.0 | yarl | 1.9.2 | ydata-profiling | 4.2.0 |
zipp | 3.8.0 |
Le librerie R sono identiche alle librerie R in Databricks Runtime 13.2.
Oltre alle librerie Java e Scala in Databricks Runtime 13.2, Databricks Runtime 13.2 ML contiene i file JAR seguenti:
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 | 2.4.1 |
org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
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 | 2.4.1 |
org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Eventi
Ottieni gratuitamente la certificazione in Microsoft Fabric.
19 nov, 23 - 10 dic, 23
Per un periodo di tempo limitato, il team della community di Microsoft Fabric offre buoni per esami DP-600 gratuiti.
Prepara ora