Databricks Runtime 12.2 LTS for Machine Learning

Databricks Runtime 12.2 LTS for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 12.2 LTS. Databricks Runtime ML contains many popular machine learning libraries, including TensorFlow, PyTorch, and XGBoost. Databricks Runtime ML includes AutoML, a tool to automatically train machine learning pipelines. Databricks Runtime ML also supports distributed deep learning training using Horovod.

For more information, including instructions for creating a Databricks Runtime ML cluster, see AI and Machine Learning on Databricks.

New features and improvements

Databricks Runtime 12.2 LTS ML is built on top of Databricks Runtime 12.2 LTS. For information on what’s new in Databricks Runtime 12.2 LTS, including Apache Spark MLlib and SparkR, see the Databricks Runtime 12.2 LTS release notes.

Databricks AutoML

You can use existing feature tables in Feature Store to augment the original input dataset for AutoML forecasting problems. For details, see Feature Store integration.

For more information about Databricks AutoML, see What is AutoML?.

System environment

The system environment in Databricks Runtime 12.2 LTS ML differs from Databricks Runtime 12.2 LTS as follows:

Databricks Runtime 12.2 LTS ML includes XGBoost 1.7.2, which does not support GPU clusters with compute capability 5.2 and below.

Libraries

The following sections list the libraries included in Databricks Runtime 12.2 LTS ML that differ from those included in Databricks Runtime 12.2 LTS.

In this section:

Top-tier libraries

Databricks Runtime 12.2 LTS ML includes the following top-tier libraries:

Python libraries

Databricks Runtime 12.2 LTS ML uses Virtualenv for Python package management and includes many popular ML packages.

In addition to the packages specified in the following sections, Databricks Runtime 12.2 LTS ML also includes the following packages:

  • hyperopt 0.2.7+db3
  • sparkdl 2.3.0-db3
  • automl 1.16.0

To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-12.2.txt file and run pip install -r requirements-12.2.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install libraries developed by Databricks, such as databricks-automl, databricks-feature-store, or the Databricks fork of hyperopt.

Python libraries on CPU clusters

Library Version Library Version Library Version
absl-py 1.0.0 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0
astor 0.8.1 asttokens 2.0.5 astunparse 1.6.3
attrs 21.4.0 azure-core 1.26.3 azure-cosmos 4.2.0
backcall 0.2.0 backports.entry-points-selectable 1.2.0 bcrypt 3.2.0
beautifulsoup4 4.11.1 black 22.3.0 bleach 4.1.0
blis 0.7.9 boto3 1.21.32 botocore 1.24.32
cachetools 4.2.2 catalogue 2.0.8 category-encoders 2.5.1.post0
certifi 2021.10.8 cffi 1.15.0 chardet 4.0.0
charset-normalizer 2.0.4 click 8.0.4 cloudpickle 2.0.0
cmdstanpy 1.1.0 confection 0.0.4 configparser 5.2.0
convertdate 2.4.0 cryptography 3.4.8 cycler 0.11.0
cymem 2.0.7 Cython 0.29.28 databricks-automl-runtime 0.2.15
databricks-cli 0.17.4 databricks-feature-store 0.10.0 dbl-tempo 0.1.12
dbus-python 1.2.16 debugpy 1.5.1 decorator 5.1.1
defusedxml 0.7.1 dill 0.3.4 diskcache 5.4.0
distlib 0.3.6 docstring-to-markdown 0.11 entrypoints 0.4
ephem 4.1.4 executing 0.8.3 facets-overview 1.0.0
fastjsonschema 2.16.2 fasttext 0.9.2 filelock 3.6.0
Flask 1.1.2 flatbuffers 23.1.21 fonttools 4.25.0
fsspec 2022.2.0 future 0.18.2 gast 0.4.0
gitdb 4.0.10 GitPython 3.1.27 google-auth 1.33.0
google-auth-oauthlib 0.4.6 google-pasta 0.2.0 grpcio 1.42.0
gunicorn 20.1.0 gviz-api 1.10.0 h5py 3.6.0
hijri-converter 2.2.4 holidays 0.18 horovod 0.27.0
htmlmin 0.1.12 huggingface-hub 0.12.0 idna 3.3
ImageHash 4.3.1 imbalanced-learn 0.10.1 importlib-metadata 4.11.3
ipykernel 6.15.3 ipython 8.5.0 ipython-genutils 0.2.0
ipywidgets 7.7.2 isodate 0.6.1 itsdangerous 2.0.1
jedi 0.18.1 Jinja2 2.11.3 jmespath 0.10.0
joblib 1.1.1 joblibspark 0.5.1 jsonschema 4.4.0
jupyter-client 6.1.12 jupyter_core 4.11.2 jupyterlab-pygments 0.1.2
jupyterlab-widgets 1.0.0 keras 2.11.0 kiwisolver 1.3.2
korean-lunar-calendar 0.3.1 langcodes 3.3.0 libclang 15.0.6.1
lightgbm 3.3.4 llvmlite 0.38.0 LunarCalendar 0.0.9
Mako 1.2.0 Markdown 3.3.4 MarkupSafe 2.0.1
matplotlib 3.5.1 matplotlib-inline 0.1.2 mccabe 0.7.0
mistune 0.8.4 mleap 0.20.0 mlflow-skinny 2.1.1
multimethod 1.9.1 murmurhash 1.0.9 mypy-extensions 0.4.3
nbclient 0.5.13 nbconvert 6.4.4 nbformat 5.3.0
nest-asyncio 1.5.5 networkx 2.7.1 nltk 3.7
nodeenv 1.7.0 notebook 6.4.8 numba 0.55.1
numpy 1.21.5 oauthlib 3.2.0 opt-einsum 3.3.0
packaging 21.3 pandas 1.4.2 pandas-profiling 3.6.2
pandocfilters 1.5.0 paramiko 2.9.2 parso 0.8.3
pathspec 0.9.0 pathy 0.10.1 patsy 0.5.2
petastorm 0.12.1 pexpect 4.8.0 phik 0.12.3
pickleshare 0.7.5 Pillow 9.0.1 pip 21.2.4
platformdirs 2.6.2 plotly 5.6.0 pluggy 1.0.0
pmdarima 2.0.2 preshed 3.0.8 prometheus-client 0.13.1
prompt-toolkit 3.0.20 prophet 1.1.1 protobuf 3.19.4
psutil 5.8.0 psycopg2 2.9.3 ptyprocess 0.7.0
pure-eval 0.2.2 pyarrow 7.0.0 pyasn1 0.4.8
pyasn1-modules 0.2.8 pybind11 2.10.3 pycparser 2.21
pydantic 1.10.2 pyflakes 2.5.0 Pygments 2.11.2
PyGObject 3.36.0 PyJWT 2.6.0 PyMeeus 0.5.12
PyNaCl 1.5.0 pyodbc 4.0.32 pyparsing 3.0.4
pyright 1.1.283 pyrsistent 0.18.0 python-dateutil 2.8.2
python-editor 1.0.4 python-lsp-jsonrpc 1.0.0 python-lsp-server 1.6.0
pytz 2021.3 PyWavelets 1.3.0 PyYAML 6.0
pyzmq 22.3.0 regex 2022.3.15 requests 2.27.1
requests-oauthlib 1.3.1 requests-unixsocket 0.2.0 rope 0.22.0
rsa 4.7.2 s3transfer 0.5.0 scikit-learn 1.0.2
scipy 1.7.3 seaborn 0.11.2 Send2Trash 1.8.0
setuptools 61.2.0 setuptools-git 1.2 shap 0.41.0
simplejson 3.17.6 six 1.16.0 slicer 0.0.7
smart-open 5.2.1 smmap 5.0.0 soupsieve 2.3.1
spacy 3.4.4 spacy-legacy 3.0.12 spacy-loggers 1.0.4
spark-tensorflow-distributor 1.0.0 sqlparse 0.4.2 srsly 2.4.5
ssh-import-id 5.10 stack-data 0.2.0 statsmodels 0.13.2
tabulate 0.8.9 tangled-up-in-unicode 0.2.0 tenacity 8.0.1
tensorboard 2.11.2 tensorboard-data-server 0.6.1 tensorboard-plugin-profile 2.11.1
tensorboard-plugin-wit 1.8.1 tensorflow-cpu 2.11.0 tensorflow-estimator 2.11.0
tensorflow-io-gcs-filesystem 0.30.0 termcolor 2.2.0 terminado 0.13.1
testpath 0.5.0 thinc 8.1.7 threadpoolctl 2.2.0
tokenize-rt 4.2.1 tokenizers 0.13.2 tomli 1.2.2
torch 1.13.1+cpu torchvision 0.14.1+cpu tornado 6.1
tqdm 4.64.0 traitlets 5.1.1 transformers 4.25.1
typeguard 2.13.3 typer 0.7.0 typing_extensions 4.1.1
ujson 5.1.0 unattended-upgrades 0.1 urllib3 1.26.9
virtualenv 20.8.0 visions 0.7.5 wasabi 0.10.1
wcwidth 0.2.5 webencodings 0.5.1 websocket-client 0.58.0
Werkzeug 2.0.3 whatthepatch 1.0.4 wheel 0.37.1
widgetsnbextension 3.6.1 wrapt 1.12.1 xgboost 1.7.2
yapf 0.31.0 zipp 3.7.0

Python libraries on GPU clusters

Library Version Library Version Library Version
absl-py 1.0.0 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0
astor 0.8.1 asttokens 2.0.5 astunparse 1.6.3
attrs 21.4.0 azure-core 1.26.3 azure-cosmos 4.2.0
backcall 0.2.0 backports.entry-points-selectable 1.2.0 bcrypt 3.2.0
beautifulsoup4 4.11.1 black 22.3.0 bleach 4.1.0
blis 0.7.9 boto3 1.21.32 botocore 1.24.32
cachetools 4.2.2 catalogue 2.0.8 category-encoders 2.5.1.post0
certifi 2021.10.8 cffi 1.15.0 chardet 4.0.0
charset-normalizer 2.0.4 click 8.0.4 cloudpickle 2.0.0
cmdstanpy 1.1.0 confection 0.0.4 configparser 5.2.0
convertdate 2.4.0 cryptography 3.4.8 cycler 0.11.0
cymem 2.0.7 Cython 0.29.28 databricks-automl-runtime 0.2.15
databricks-cli 0.17.4 databricks-feature-store 0.10.0 dbl-tempo 0.1.12
dbus-python 1.2.16 debugpy 1.5.1 decorator 5.1.1
defusedxml 0.7.1 dill 0.3.4 diskcache 5.4.0
distlib 0.3.6 docstring-to-markdown 0.11 entrypoints 0.4
ephem 4.1.4 executing 0.8.3 facets-overview 1.0.0
fastjsonschema 2.16.2 fasttext 0.9.2 filelock 3.6.0
Flask 1.1.2 flatbuffers 23.1.21 fonttools 4.25.0
fsspec 2022.2.0 future 0.18.2 gast 0.4.0
gitdb 4.0.10 GitPython 3.1.27 google-auth 1.33.0
google-auth-oauthlib 0.4.6 google-pasta 0.2.0 grpcio 1.42.0
gunicorn 20.1.0 gviz-api 1.10.0 h5py 3.6.0
hijri-converter 2.2.4 holidays 0.18 horovod 0.27.0
htmlmin 0.1.12 huggingface-hub 0.12.0 idna 3.3
ImageHash 4.3.1 imbalanced-learn 0.10.1 importlib-metadata 4.11.3
ipykernel 6.15.3 ipython 8.5.0 ipython-genutils 0.2.0
ipywidgets 7.7.2 isodate 0.6.1 itsdangerous 2.0.1
jedi 0.18.1 Jinja2 2.11.3 jmespath 0.10.0
joblib 1.1.1 joblibspark 0.5.1 jsonschema 4.4.0
jupyter-client 6.1.12 jupyter_core 4.11.2 jupyterlab-pygments 0.1.2
jupyterlab-widgets 1.0.0 keras 2.11.0 kiwisolver 1.3.2
korean-lunar-calendar 0.3.1 langcodes 3.3.0 libclang 15.0.6.1
lightgbm 3.3.4 llvmlite 0.38.0 LunarCalendar 0.0.9
Mako 1.2.0 Markdown 3.3.4 MarkupSafe 2.0.1
matplotlib 3.5.1 matplotlib-inline 0.1.2 mccabe 0.7.0
mistune 0.8.4 mleap 0.20.0 mlflow-skinny 2.1.1
multimethod 1.9.1 murmurhash 1.0.9 mypy-extensions 0.4.3
nbclient 0.5.13 nbconvert 6.4.4 nbformat 5.3.0
nest-asyncio 1.5.5 networkx 2.7.1 nltk 3.7
nodeenv 1.7.0 notebook 6.4.8 numba 0.55.1
numpy 1.21.5 oauthlib 3.2.0 opt-einsum 3.3.0
packaging 21.3 pandas 1.4.2 pandas-profiling 3.6.2
pandocfilters 1.5.0 paramiko 2.9.2 parso 0.8.3
pathspec 0.9.0 pathy 0.10.1 patsy 0.5.2
petastorm 0.12.1 pexpect 4.8.0 phik 0.12.3
pickleshare 0.7.5 Pillow 9.0.1 pip 21.2.4
platformdirs 2.6.2 plotly 5.6.0 pluggy 1.0.0
pmdarima 2.0.2 preshed 3.0.8 prompt-toolkit 3.0.20
prophet 1.1.1 protobuf 3.19.4 psutil 5.8.0
psycopg2 2.9.3 ptyprocess 0.7.0 pure-eval 0.2.2
pyarrow 7.0.0 pyasn1 0.4.8 pyasn1-modules 0.2.8
pybind11 2.10.3 pycparser 2.21 pydantic 1.10.2
pyflakes 2.5.0 Pygments 2.11.2 PyGObject 3.36.0
PyJWT 2.6.0 PyMeeus 0.5.12 PyNaCl 1.5.0
pyodbc 4.0.32 pyparsing 3.0.4 pyright 1.1.283
pyrsistent 0.18.0 python-dateutil 2.8.2 python-editor 1.0.4
python-lsp-jsonrpc 1.0.0 python-lsp-server 1.6.0 pytz 2021.3
PyWavelets 1.3.0 PyYAML 6.0 pyzmq 22.3.0
regex 2022.3.15 requests 2.27.1 requests-oauthlib 1.3.1
requests-unixsocket 0.2.0 rope 0.22.0 rsa 4.7.2
s3transfer 0.5.0 scikit-learn 1.0.2 scipy 1.7.3
seaborn 0.11.2 Send2Trash 1.8.0 setuptools 61.2.0
setuptools-git 1.2 shap 0.41.0 simplejson 3.17.6
six 1.16.0 slicer 0.0.7 smart-open 5.2.1
smmap 5.0.0 soupsieve 2.3.1 spacy 3.4.4
spacy-legacy 3.0.12 spacy-loggers 1.0.4 spark-tensorflow-distributor 1.0.0
sqlparse 0.4.2 srsly 2.4.5 ssh-import-id 5.10
stack-data 0.2.0 statsmodels 0.13.2 tabulate 0.8.9
tangled-up-in-unicode 0.2.0 tenacity 8.0.1 tensorboard 2.11.2
tensorboard-data-server 0.6.1 tensorboard-plugin-profile 2.11.1 tensorboard-plugin-wit 1.8.1
tensorflow 2.11.0 tensorflow-estimator 2.11.0 tensorflow-io-gcs-filesystem 0.30.0
termcolor 2.2.0 terminado 0.13.1 testpath 0.5.0
thinc 8.1.7 threadpoolctl 2.2.0 tokenize-rt 4.2.1
tokenizers 0.13.2 tomli 1.2.2 torch 1.13.1+cu117
torchvision 0.14.1+cu117 tornado 6.1 tqdm 4.64.0
traitlets 5.1.1 transformers 4.25.1 typeguard 2.13.3
typer 0.7.0 typing_extensions 4.1.1 ujson 5.1.0
unattended-upgrades 0.1 urllib3 1.26.9 virtualenv 20.8.0
visions 0.7.5 wasabi 0.10.1 wcwidth 0.2.5
webencodings 0.5.1 websocket-client 0.58.0 Werkzeug 2.0.3
whatthepatch 1.0.4 wheel 0.37.1 widgetsnbextension 3.6.1
wrapt 1.12.1 xgboost 1.7.2 yapf 0.31.0
zipp 3.7.0

R libraries

The R libraries are identical to the R Libraries in Databricks Runtime 12.2 LTS.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 12.2 LTS, Databricks Runtime 12.2 LTS ML contains the following JARs:

CPU clusters

Group ID Artifact ID Version
com.typesafe.akka akka-actor_2.12 2.5.23
ml.combust.mleap mleap-databricks-runtime_2.12 v0.20.0-db1
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-db1-spark3.2
org.mlflow mlflow-client 2.1.1
org.scala-lang.modules scala-java8-compat_2.12 0.8.0
org.tensorflow spark-tensorflow-connector_2.12 1.15.0

GPU clusters

Group ID Artifact ID Version
com.typesafe.akka akka-actor_2.12 2.5.23
ml.combust.mleap mleap-databricks-runtime_2.12 v0.20.0-db1
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-db1-spark3.2
org.mlflow mlflow-client 2.1.1
org.scala-lang.modules scala-java8-compat_2.12 0.8.0
org.tensorflow spark-tensorflow-connector_2.12 1.15.0