Databricks Runtime 15.2 per apprendimento automatico

Databricks Runtime 15.2 per Machine Learning offre un ambiente pronto per l'apprendimento automatico e l'analisi scientifica dei dati basata su Databricks Runtime 15.2. 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 15.2 ML è basato su Databricks Runtime 15.2. Per informazioni sulle novità di Databricks Runtime 15.2, tra cui Apache Spark MLlib e SparkR, vedere le note sulla versione di Databricks Runtime 15.2 .

Aggiungere StreamingDataset

StreamingDataset viene usato per eseguire il training su set di dati di grandi dimensioni dall'archiviazione cloud il più veloce, economico e scalabile possibile. È preinstallato in Databricks Runtime 15.2 ML.

Supporto di Photon nei cluster CPU ml di Databricks Runtime

A partire da Databricks Runtime 15.2 ML, è possibile accelerare i carichi di lavoro Spark SQL e Spark DataFrame abilitando Photon nel cluster CPU.

Per le applicazioni di Machine Learning, Photon offre prestazioni più veloci per i casi d'uso, ad esempio:

  • Preparazione dei dati con l'API SQL o DataFrame.
  • Progettazione di funzionalità con ricerca temporizzato.
  • Analisi del grafo con GraphFrames.

Photon non migliora le prestazioni delle librerie Python, ad esempio TensorFlow, PyTorch e XGBoost.

Le API RDD Spark e Spark MLlib hanno una compatibilità limitata con Photon. Quando si elaborano set di dati di grandi dimensioni usando Spark RDD o Spark MLlib, è possibile che si verifichino problemi di memoria Spark. Vedere Problemi di memoria Spark.

Ambiente di sistema

L'ambiente di sistema in Databricks Runtime 15.2 ML differisce da Databricks Runtime 15.2 come indicato di seguito:

  • Per i cluster GPU, Databricks Runtime ML include le librerie GPU NVIDIA seguenti:
    • 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

Librerie

Le sezioni seguenti elencano le librerie incluse in Databricks Runtime 15.2 ML che differiscono da quelle incluse in Databricks Runtime 15.2.

Contenuto della sezione:

Librerie di livello superiore

Databricks Runtime 15.2 ML include le librerie di livello superiore seguenti:

Librerie Python

Databricks Runtime 15.2 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 15.2 ML include anche i pacchetti seguenti:

  • hyperopt 0.2.7+db3
  • sparkdl 3.0.0_db1
  • automl 1.26.0

Per riprodurre l'ambiente Python di Machine Learning di Databricks Runtime nell'ambiente virtuale Python locale, scaricare il file di requirements-15.2.txt ed eseguire pip install -r requirements-15.2.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-engineering o il fork di Databricks di hyperopt.

Librerie Python nei cluster CPU

Library Versione Library Versione Library Versione
absl-py 1.0.0 accelerate 0.28.0 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
asttoken 2.0.5 astunparse 1.6.3 async-timeout 4.0.2
attrs 22.1.0 audioread 3.0.1 azure-core 1.30.1
azure-cosmos 4.3.1 azure-identity 1.16.0 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 5.3.3
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 a colori 0.5.6
serv 0.1.2 confection 0.1.4 configparser 5.2.0
contourpy 1.0.5 cryptography 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 0.4.0 databricks-sdk 0.20.0
dataclasses-json 0.6.4 datasets 2.18.0 dbl-tempo 0.1.26
dbus-python 1.2.18 debugpy 1.6.7 decorator 5.1.1
deepspeed 0.14.0 defusedxml 0.7.1 dill 0.3.6
diskcache 5.6.3 distlib 0.3.8 dm-tree 0.1.8
entrypoints 0.4 evaluate 0.4.1 executing 0.8.3
facet-overview 1.1.1 Farama-Notifications 0.0.4 fastjsonschema 2.19.1
fasttext 0.9.2 filelock 3.9.0 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 2.7.0 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 gymnasium 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 0.20.2
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 8.0.4 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 2.4 jsonschema 4.17.3 jupyter-server 1.23.4
jupyter_client 7.4.9 jupyter_core 5.3.0 jupyterlab-pygments 0.1.2
jupyterlab-widgets 3.0.5 keras 3.1.1 keyring 23.5.0
kiwisolver 1.4.4 langchain 0.1.13 langchain-community 0.0.32
langchain-core 0.1.41 langchain-text-splitters 0.0.1 langcodes 3.3.0
langsmith 0.1.45 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 llvmlite 0.40.0
lxml 4.9.2 lz4 4.3.2 Mako 1.2.0
Markdown 3.4.1 markdown-it-py 2.2.0 MarkupSafe 2.1.1
marshmallow 3.21.1 matplotlib 3.7.2 matplotlib-inline 0.1.6
mdurl 0.1.0 mistune 0.8.4 ml-dtypes 0.3.2
mlflow-skinny 2.11.3 more-itertools 8.10.0 mosaicml-streaming 0.7.4
mpmath 1.3.0 msal 1.28.0 msal-extensions 1.1.0
msgpack 1.0.8 multidict 6.0.2 multimethod 1.11.2
multiprocess 0.70.14 murmurhash 1.0.10 mypy-extensions 0.4.3
namex 0.0.7 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 oauthlib 3.2.0 oci 2.125.2
openai 1.14.3 opencensus 0.11.4 opencensus-context 0.1.3
opt-einsum 3.3.0 optree 0.11.0 orjson 3.10.0
packaging 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 2.8.2
preshed 3.0.9 prometheus-client 0.14.1 prompt-toolkit 3.0.36
prophet 1.1.5 proto-plus 1.23.0 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 2.12.0 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
pynvml 11.5.0 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 2.10.0
regex 2022.7.9 requests 2.31.0 requests-oauthlib 1.3.1
responses 0.13.3 rich 13.7.1 rsa 4.9
s3transfer 0.10.1 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 2.6.1
sentencepiece 0.1.99 setuptools 68.0.0 shap 0.44.0
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 2.4 soxr 0.3.7
spacy 3.7.2 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 0.5.0 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-cpu 2.16.1 tensorflow-estimator 2.15.0 tensorflow-io-gcs-filesystem 0.36.0
termcolor 2.4.0 terminado 0.17.1 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 0.15.0
Torch 2.2.2+CPU torcheval 0.0.7 torchvision 0.17.2+CPU
tornado 6.3.2 tqdm 4.65.0 traitlets 5.7.1
transformers 4.39.2 typeguard 2.13.3 typer 0.9.4
typing-inspect 0.9.0 typing_extensions 4.10.0 tzdata 2022.1
ujson 5.4.0 unattended-upgrades 0.1 urllib3 1.26.16
virtualenv 20.21.0 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 widgetsnbextension 4.0.5 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

Librerie Python nei cluster GPU

Library Versione Library Versione Library Versione
absl-py 1.0.0 accelerate 0.28.0 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
asttoken 2.0.5 astunparse 1.6.3 async-timeout 4.0.2
attrs 22.1.0 audioread 3.0.1 azure-core 1.30.1
azure-cosmos 4.3.1 azure-identity 1.16.0 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 5.3.3
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 a colori 0.5.6
serv 0.1.2 confection 0.1.4 configparser 5.2.0
contourpy 1.0.5 cryptography 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 0.4.0 databricks-sdk 0.20.0
dataclasses-json 0.6.4 datasets 2.18.0 dbl-tempo 0.1.26
dbus-python 1.2.18 debugpy 1.6.7 decorator 5.1.1
deepspeed 0.14.0 defusedxml 0.7.1 dill 0.3.6
diskcache 5.6.3 distlib 0.3.8 dm-tree 0.1.8
einops 0.7.0 entrypoints 0.4 evaluate 0.4.1
executing 0.8.3 facet-overview 1.1.1 Farama-Notifications 0.0.4
fastjsonschema 2.19.1 fasttext 0.9.2 filelock 3.9.0
flash-attn 2.5.6 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 2.7.0
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
gymnasium 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 0.20.2 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 8.0.4 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 2.4
jsonschema 4.17.3 jupyter-server 1.23.4 jupyter_client 7.4.9
jupyter_core 5.3.0 jupyterlab-pygments 0.1.2 jupyterlab-widgets 3.0.5
keras 3.1.1 keyring 23.5.0 kiwisolver 1.4.4
langchain 0.1.13 langchain-community 0.0.32 langchain-core 0.1.41
langchain-text-splitters 0.0.1 langcodes 3.3.0 langsmith 0.1.45
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 llvmlite 0.40.0 lxml 4.9.2
lz4 4.3.2 Mako 1.2.0 Markdown 3.4.1
markdown-it-py 2.2.0 MarkupSafe 2.1.1 marshmallow 3.21.1
matplotlib 3.7.2 matplotlib-inline 0.1.6 mdurl 0.1.0
mistune 0.8.4 ml-dtypes 0.3.2 mlflow-skinny 2.11.3
more-itertools 8.10.0 mosaicml-streaming 0.7.4 mpmath 1.3.0
msal 1.28.0 msal-extensions 1.1.0 msgpack 1.0.8
multidict 6.0.2 multimethod 1.11.2 multiprocess 0.70.14
murmurhash 1.0.10 mypy-extensions 0.4.3 namex 0.0.7
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-nccl-cu12 2.19.3 nvidia-nvjitlink-cu12 12.4.127 nvidia-nvtx-cu12 12.1.105
oauthlib 3.2.0 oci 2.125.2 openai 1.14.3
opencensus 0.11.4 opencensus-context 0.1.3 opt-einsum 3.3.0
optree 0.11.0 orjson 3.10.0 packaging 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 2.8.2 preshed 3.0.9
prometheus-client 0.14.1 prompt-toolkit 3.0.36 prophet 1.1.5
proto-plus 1.23.0 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 2.12.0 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 pynvml 11.5.0
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 2.10.0 regex 2022.7.9
requests 2.31.0 requests-oauthlib 1.3.1 responses 0.13.3
rich 13.7.1 rsa 4.9 s3transfer 0.10.1
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 2.6.1 sentencepiece 0.1.99
setuptools 68.0.0 shap 0.44.0 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 2.4 soxr 0.3.7 spacy 3.7.2
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 0.5.0
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 0.36.0 termcolor 2.4.0
terminado 0.17.1 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 0.15.0 Torch 2.2.2+cu121
torcheval 0.0.7 torchvision 0.17.2+cu121 tornado 6.3.2
tqdm 4.65.0 traitlets 5.7.1 transformers 4.39.2
triton 2.2.0 typeguard 2.13.3 typer 0.9.4
typing-inspect 0.9.0 typing_extensions 4.10.0 tzdata 2022.1
ujson 5.4.0 unattended-upgrades 0.1 urllib3 1.26.16
virtualenv 20.21.0 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 widgetsnbextension 4.0.5 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

Librerie R

Le librerie R sono identiche alle librerie R in Databricks Runtime 15.2.

Librerie Java e Scala (cluster Scala 2.12)

Oltre alle librerie Java e Scala in Databricks Runtime 15.2, Databricks Runtime 15.2 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 0.8.3-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

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 0.8.3-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