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Databricks Runtime 14.2 per Apprendimento Automatico (EoS)

Annotazioni

Il supporto per questa versione di Databricks Runtime è terminato. Per la data di fine del supporto, vedere Fine del supporto e cronologia di fine vita. Per tutte le versioni supportate di Databricks Runtime, vedere note di rilascio di Databricks Runtime: versioni e compatibilità.

Databricks Runtime 14.2 per il *machine learning* offre un ambiente pronto all'uso per *machine learning* e data science basato 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. Databricks Runtime ML supporta anche l'addestramento distribuito per il deep learning utilizzando Horovod.

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:

Databricks Runtime 14.2 ML include XGBoost 1.7.6, che non supporta cluster GPU con funzionalità di calcolo 5.2 e inferiori.

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 seguenti librerie di livello superiore:

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
  • 3.0.0_db1 sparkdl
  • automl 1.23.0

Per riprodurre l'ambiente Python ml di Databricks Runtime nell'ambiente virtuale Python locale, scaricare il file requirements-14.2.txt ed eseguire pip install -r requirements-14.2.txt. Questo comando installa tutte le librerie di open source usate da Databricks Runtime ML, ma non installa librerie sviluppate da Databricks, ad esempio databricks-automl, databricks-feature-store o il fork databricks di hyperopt.

librerie Python sui cluster di CPU

Libreria Versione Libreria Versione Libreria Versione
absl-py 1.0.0 accelerare 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
richiamo 0.2.0 bcrypt 3.2.0 beautifulsoup4 4.11.1
nero 22.6.0 bleach 4.1.0 freccia 1.4
blis 0.7.11 boto3 1.24.28 botocore 1.27.96
cachetools 5.3.2 catalogo 2.0.10 encoder di categorie 2.6.2
certifi 2022.12.7 cffi 1.15.1 chardet 4.0.0
charset-normalizer 2.0.4 clic 8.0.4 cloudpathlib 0.16.0
cloudpickle 2.0.0 cmdstanpy 1.2.0 comm 0.1.2
confection 0.1.3 configparser 5.2.0 contourpy 1.0.5
cryptography 39.0.1 cicliatore 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 insiemi di dati 2.14.5
dbl-tempo 0.1.26 dbus-python 1.2.18 debugpy 1.6.7
decoratore 5.1.1 deepspeed 0.11.1 defusedxml 0.7.1
aneto 0.3.6 diskcache 5.6.3 distlib 0.3.7
docstring-to-markdown 0.11 punti di ingresso 0.4 valutare 0.4.1
eseguendo 0.8.3 facets-panoramica 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 futuro 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
festività 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 veicolo di trasporto pubblico filippino chiamato 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 portachiavi 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 multimetodo 1.10
multiprocesso 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 confezionamento 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 capro espiatorio 0.5.3
petastorm 0.12.1 pexpect 4.8.0 phik 0.12.3
pickleshare 0.7.5 Cuscino 9.4.0 pip 22.3.1
platformdirs 2.5.2 plotly 5.9.0 pluggy 1.0.0
pmdarima 2.0.3 cagnolino 1.4.0 preshed 3.0.9
prometheus-client 0.14.1 prompt-toolkit 3.0.36 profeta 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 richieste 2.28.1
requests-oauthlib 1.3.1 risposte 0.18.0 corda 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 sei 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
seriamente 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 in-garbugliato-nell-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 terminato 0.17.1 thinc 8.2.1
threadpoolctl 2.2.0 tiktoken 0.5.1 tinycss2 1.2.1
tokenize-rt 4.2.1 tokenizzatori 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 trasformatori 4.34.0
typeguard 2.13.3 typer 0.9.0 ispezione-digitazione 0.9.0
typing_extensions 4.4.0 ujson 5.4.0 unattended-upgrades (aggiornamenti automatici) 0.1
urllib3 1.26.14 virtualenv 20.16.7 visioni 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 ruota 0.38.4
widgetsnbextension 3.6.1 wordcloud 1.9.2 avvolto 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

Libreria Versione Libreria Versione Libreria Versione
absl-py 1.0.0 accelerare 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
richiamo 0.2.0 bcrypt 3.2.0 beautifulsoup4 4.11.1
nero 22.6.0 bleach 4.1.0 freccia 1.4
blis 0.7.11 boto3 1.24.28 botocore 1.27.96
cachetools 5.3.2 catalogo 2.0.10 encoder di categoria 2.6.2
certifi 2022.12.7 cffi 1.15.1 chardet 4.0.0
charset-normalizer 2.0.4 clic 8.0.4 cloudpathlib 0.16.0
cloudpickle 2.0.0 cmake 3.27.7 cmdstanpy 1.2.0
comm 0.1.2 confection 0.1.3 configparser 5.2.0
contourpy 1.0.5 cryptography 39.0.1 ciclatore 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
insiemi di dati 2.14.5 dbl-tempo 0.1.26 dbus-python 1.2.18
debugpy 1.6.7 decoratore 5.1.1 deepspeed 0.11.1
defusedxml 0.7.1 aneto 0.3.6 diskcache 5.6.3
distlib 0.3.7 docstring-to-markdown 0.11 einops 0.7.0
punti di ingresso 0.4 valutare 0.4.1 eseguendo 0.8.3
facets-panoramica 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 futuro 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 (archiviazione su cloud di Google) 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
vacanze 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, veicolo di trasporto pubblico delle Filippine 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 imballaggio 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
sciocco 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 cagnolino 1.4.0
preshed 3.0.9 prompt-toolkit 3.0.36 profeta 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 richieste 2.28.1
requests-oauthlib 1.3.1 risposte 0.18.0 corda 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 sei 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
seriamente 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
tabulare 0.8.10 in-garbugliato-nell-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 terminato 0.17.1 thinc 8.2.1
threadpoolctl 2.2.0 tiktoken 0.5.1 tinycss2 1.2.1
tokenize-rt 4.2.1 tokenizzatori 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 trasformatori 4.34.0
triton 2.0.0 typeguard 2.13.3 typer 0.9.0
ispezione-digitazione 0.9.0 typing_extensions 4.4.0 ujson 5.4.0
unattended-upgrades (aggiornamenti automatici) 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 R Libraries 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 dell'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 di GPU

ID gruppo ID dell'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
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