Databricks Runtime 13.0 for Machine Learning (unsupported)

  • Article

Databricks Runtime 13.0 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 13.0 (unsupported). 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 13.0 ML is built on top of Databricks Runtime 13.0. For information on what’s new in Databricks Runtime 13.0, including Apache Spark MLlib and SparkR, see the Databricks Runtime 13.0 (unsupported) release notes.

Changes to Databricks AutoML

In Databricks Runtime 13.0 ML and above, Databricks AutoML is not supported for workspaces with FedRAMP compliance.

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

Enhancements to Databricks Feature Store

In Unity Catalog-enabled workspaces on a cluster running Databricks Runtime 13.0 ML or above, you can publish both workspace and Unity Catalog feature tables to Cosmos DB online stores.

For more information about Databricks Feature Store, see What is a feature store?.

System environment

The system environment in Databricks Runtime 13.0 ML differs from Databricks Runtime 13.0 as follows:

Databricks Runtime 13.0 ML includes XGBoost 1.7.2, which does not support GPU clusters with compute capability 5.2 and below.

The miniconda package has been removed from Databricks Runtime 13.0 ML.

Libraries

The following sections list the libraries included in Databricks Runtime 13.0 ML that differ from those included in Databricks Runtime 13.0.

In this section:

Top-tier libraries

Databricks Runtime 13.0 ML includes the following top-tier libraries:

Python libraries

Databricks Runtime 13.0 ML uses Virtualenv for Python package management and includes many popular ML packages.

The following Python libraries have been introduced with Databricks Runtime 13.0 ML:

  • accelerate
  • datasets
  • evaluate
  • ydata-profiling

In addition to the packages specified in the following sections, Databricks Runtime 13.0 ML also includes the following packages:

  • hyperopt 0.2.7+db3
  • sparkdl 3.0.0_db1
  • automl 1.17.0

To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-13.0.txt file and run pip install -r requirements-13.0.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 accelerate 0.16.0 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 asttokens 2.2.1
astunparse 1.6.3 async-timeout 4.0.2 attrs 21.4.0
azure-core 1.26.3 azure-cosmos 4.3.1b1 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
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 37.0.1 cycler 0.11.0 cymem 2.0.7
Cython 0.29.32 databricks-automl-runtime 0.2.16 databricks-cli 0.17.4
databricks-feature-store 0.11.0 datasets 2.10.0 dbl-tempo 0.1.12
dbus-python 1.2.18 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 evaluate 0.4.0 executing 1.2.0
facets-overview 1.0.2 fastjsonschema 2.16.3 fasttext 0.9.2
filelock 3.6.0 Flask 1.1.2 flatbuffers 23.3.3
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-auth 1.33.0 google-auth-oauthlib 0.4.6
google-pasta 0.2.0 googleapis-common-protos 1.56.4 grpcio 1.48.1
grpcio-status 1.48.1 gunicorn 20.1.0 gviz-api 1.10.0
h5py 3.7.0 hijri-converter 2.2.4 holidays 0.19
horovod 0.27.0 htmlmin 0.1.12 httplib2 0.20.2
huggingface-hub 0.13.2 idna 3.3 ImageHash 4.3.1
imbalanced-learn 0.8.1 importlib-metadata 4.11.3 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 langcodes 3.3.0
launchpadlib 1.10.16 lazr.restfulclient 0.14.4 lazr.uri 1.0.6
libclang 15.0.6.1 lightgbm 3.3.5 llvmlite 0.38.0
LunarCalendar 0.0.9 Mako 1.2.0 Markdown 3.3.4
MarkupSafe 2.0.1 matplotlib 3.5.2 matplotlib-inline 0.1.6
mccabe 0.7.0 mistune 0.8.4 mleap 0.20.0
mlflow-skinny 2.2.1 more-itertools 8.10.0 multidict 6.0.4
multimethod 1.9.1 multiprocess 0.70.12.2 murmurhash 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
nltk 3.7 nodeenv 1.7.0 notebook 6.4.12
numba 0.55.1 numpy 1.21.5 oauthlib 3.2.0
opt-einsum 3.3.0 packaging 21.3 pandas 1.4.4
pandas-profiling 3.6.6 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 9.2.0
pip 22.2.2 platformdirs 2.5.2 plotly 5.9.0
pluggy 1.0.0 pmdarima 2.0.2 preshed 3.0.8
prometheus-client 0.14.1 prompt-toolkit 3.0.36 prophet 1.1.2
protobuf 3.19.4 psutil 5.9.0 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 1.10.6 pyflakes 3.0.1
Pygments 2.11.2 PyGObject 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
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
setuptools 63.4.1 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 3.5.0
spacy-legacy 3.0.12 spacy-loggers 1.0.4 spark-tensorflow-distributor 1.0.0
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 8.0.1 tensorboard 2.11.0
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 0.31.0
termcolor 2.2.0 terminado 0.13.1 testpath 0.6.0
thinc 8.1.9 threadpoolctl 2.2.0 tokenize-rt 4.2.1
tokenizers 0.13.2 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 4.26.1 typeguard 2.13.3
typer 0.7.0 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 1.1.1
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 wrapt 1.14.1 xgboost 1.7.4
xxhash 3.2.0 yapf 0.31.0 yarl 1.8.2
ydata-profiling 4.1.0 zipp 3.8.0

Python libraries on GPU clusters

Library Version Library Version Library Version
absl-py 1.0.0 accelerate 0.16.0 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 asttokens 2.2.1
astunparse 1.6.3 async-timeout 4.0.2 attrs 21.4.0
azure-core 1.26.3 azure-cosmos 4.3.1b1 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
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 37.0.1 cycler 0.11.0 cymem 2.0.7
Cython 0.29.32 databricks-automl-runtime 0.2.16 databricks-cli 0.17.4
databricks-feature-store 0.11.0 datasets 2.10.0 dbl-tempo 0.1.12
dbus-python 1.2.18 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 evaluate 0.4.0 executing 1.2.0
facets-overview 1.0.2 fastjsonschema 2.16.3 fasttext 0.9.2
filelock 3.6.0 Flask 1.1.2 flatbuffers 23.3.3
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-auth 1.33.0 google-auth-oauthlib 0.4.6
google-pasta 0.2.0 googleapis-common-protos 1.56.4 grpcio 1.48.1
grpcio-status 1.48.1 gunicorn 20.1.0 gviz-api 1.10.0
h5py 3.7.0 hijri-converter 2.2.4 holidays 0.19
horovod 0.27.0 htmlmin 0.1.12 httplib2 0.20.2
huggingface-hub 0.13.1 idna 3.3 ImageHash 4.3.1
imbalanced-learn 0.8.1 importlib-metadata 4.11.3 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 langcodes 3.3.0
launchpadlib 1.10.16 lazr.restfulclient 0.14.4 lazr.uri 1.0.6
libclang 15.0.6.1 lightgbm 3.3.5 llvmlite 0.38.0
LunarCalendar 0.0.9 Mako 1.2.0 Markdown 3.3.4
MarkupSafe 2.0.1 matplotlib 3.5.2 matplotlib-inline 0.1.6
mccabe 0.7.0 mistune 0.8.4 mleap 0.20.0
mlflow-skinny 2.2.1 more-itertools 8.10.0 multidict 6.0.4
multimethod 1.9.1 multiprocess 0.70.12.2 murmurhash 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
nltk 3.7 nodeenv 1.7.0 notebook 6.4.12
numba 0.55.1 numpy 1.21.5 oauthlib 3.2.0
opt-einsum 3.3.0 packaging 21.3 pandas 1.4.4
pandas-profiling 3.6.6 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 9.2.0
pip 22.2.2 platformdirs 2.5.2 plotly 5.9.0
pluggy 1.0.0 pmdarima 2.0.2 preshed 3.0.8
prompt-toolkit 3.0.36 prophet 1.1.2 protobuf 3.19.4
psutil 5.9.0 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 1.10.6 pyflakes 3.0.1 Pygments 2.11.2
PyGObject 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 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 setuptools 63.4.1
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 3.5.0 spacy-legacy 3.0.12
spacy-loggers 1.0.4 spark-tensorflow-distributor 1.0.0 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 8.0.1 tensorboard 2.11.0 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 0.31.0 termcolor 2.2.0
terminado 0.13.1 testpath 0.6.0 thinc 8.1.9
threadpoolctl 2.2.0 tokenize-rt 4.2.1 tokenizers 0.13.2
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 4.26.1 typeguard 2.13.3 typer 0.7.0
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 1.1.1 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
wrapt 1.14.1 xgboost 1.7.4 xxhash 3.2.0
yapf 0.31.0 yarl 1.8.2 ydata-profiling 4.1.0
zipp 3.8.0

R libraries

The R libraries are identical to the R Libraries in Databricks Runtime 13.0.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 13.0, Databricks Runtime 13.0 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-db2
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 2.2.1
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-db2
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 2.2.1
org.scala-lang.modules scala-java8-compat_2.12 0.8.0
org.tensorflow spark-tensorflow-connector_2.12 1.15.0