Google
Cloud Platform
Amazon Web Services
Microsoft AzureDatabricks Runtime 11.2 for Machine Learning (unsupported)
Databricks Runtime 11.2 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 11.2 (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.
Note
These release notes may include references to features that are not available on Google Cloud as of this release.
New features and improvements
Databricks Runtime 11.2 ML is built on top of Databricks Runtime 11.2. For information on what’s new in Databricks Runtime 11.2, including Apache Spark MLlib and SparkR, see the Databricks Runtime 11.2 (unsupported) release notes.
Enhancements to Databricks AutoML
Databricks AutoML now has better support for imbalanced datasets for classification problems. For details see Imbalanced dataset support for classification problems.
Enhancements to Databricks Feature Store
The following enhancements have been made to Databricks Feature Store.
All documentation and output from the feature store client now refer to the client version (for example, 0.6.1) instead of Databricks Runtime ML versions (such as 11.2).
System environment
The system environment in Databricks Runtime 11.2 ML differs from Databricks Runtime 11.2 as follows:
DBUtils: Databricks Runtime ML does not include Library utility (dbutils.library) (legacy). Use
%pipcommands instead. See Notebook-scoped Python libraries.For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
CUDA 11.3
cuDNN 8.0.5.39
NCCL 2.9.9
TensorRT 7.2.2
Libraries
The following sections list the libraries included in Databricks Runtime 11.2 ML that differ from those included in Databricks Runtime 11.2.
In this section:
Top-tier libraries
Databricks Runtime 11.2 ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 11.2 ML uses Virtualenv for Python package management and includes many popular ML packages.
In addition to the packages specified in the in the following sections, Databricks Runtime 11.2 ML also includes the following packages:
hyperopt 0.2.7.db1
sparkdl 2.2.0_db6
feature_store 0.6.0
automl 1.12.3
Python libraries on CPU clusters
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-11.2.txt file and run pip install -r requirements-11.2.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install Databricks developed libraries, such as databricks-automl, databricks-feature-store, or the Databricks fork of hyperopt.
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
Antergos Linux |
2015.10 (ISO-Rolling) |
argon2-cffi |
20.1.0 |
astor |
0.8.1 |
astunparse |
1.6.3 |
async-generator |
1.10 |
attrs |
21.2.0 |
azure-core |
1.22.1 |
azure-cosmos |
4.2.0 |
backcall |
0.2.0 |
backports.entry-points-selectable |
1.1.1 |
bcrypt |
3.2.2 |
black |
22.3.0 |
bleach |
4.0.0 |
blis |
0.7.8 |
boto3 |
1.21.18 |
botocore |
1.24.18 |
cachetools |
5.2.0 |
catalogue |
2.0.8 |
certifi |
2021.10.8 |
cffi |
1.14.6 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
click |
8.0.3 |
cloudpickle |
2.0.0 |
cmdstanpy |
0.9.68 |
configparser |
5.2.0 |
convertdate |
2.4.0 |
cryptography |
3.4.8 |
cycler |
0.10.0 |
cymem |
2.0.6 |
Cython |
0.29.24 |
databricks-automl-runtime |
0.2.10 |
databricks-cli |
0.17.0 |
dbl-tempo |
0.1.12 |
dbus-python |
1.2.16 |
debugpy |
1.4.1 |
decorator |
5.1.0 |
defusedxml |
0.7.1 |
dill |
0.3.4 |
diskcache |
5.4.0 |
distlib |
0.3.5 |
distro-info |
0.23ubuntu1 |
entrypoints |
0.3 |
ephem |
4.1.3 |
facets-overview |
1.0.0 |
fasttext |
0.9.2 |
filelock |
3.3.1 |
Flask |
1.1.2 |
flatbuffers |
1.12 |
fsspec |
2021.8.1 |
future |
0.18.2 |
gast |
0.4.0 |
gitdb |
4.0.9 |
GitPython |
3.1.27 |
google-auth |
2.6.0 |
google-auth-oauthlib |
0.4.6 |
google-pasta |
0.2.0 |
grpcio |
1.44.0 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
h5py |
3.3.0 |
hijri-converter |
2.2.4 |
holidays |
0.14.2 |
horovod |
0.25.0 |
htmlmin |
0.1.12 |
huggingface-hub |
0.8.1 |
idna |
3.2 |
ImageHash |
4.2.1 |
imbalanced-learn |
0.8.1 |
importlib-metadata |
4.8.1 |
ipykernel |
6.12.1 |
ipython |
7.32.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.7.0 |
isodate |
0.6.1 |
itsdangerous |
2.0.1 |
jedi |
0.18.0 |
Jinja2 |
2.11.3 |
jmespath |
0.10.0 |
joblib |
1.0.1 |
joblibspark |
0.5.0 |
jsonschema |
3.2.0 |
jupyter-client |
6.1.12 |
jupyter-core |
4.8.1 |
jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 |
keras |
2.9.0 |
Keras-Preprocessing |
1.1.2 |
kiwisolver |
1.3.1 |
korean-lunar-calendar |
0.2.1 |
langcodes |
3.3.0 |
libclang |
14.0.6 |
lightgbm |
3.3.2 |
llvmlite |
0.37.0 |
LunarCalendar |
0.0.9 |
Mako |
1.2.0 |
Markdown |
3.3.6 |
MarkupSafe |
2.0.1 |
matplotlib |
3.4.3 |
matplotlib-inline |
0.1.2 |
missingno |
0.5.1 |
mistune |
0.8.4 |
mleap |
0.20.0 |
mlflow-skinny |
1.28.0 |
multimethod |
1.8 |
murmurhash |
1.0.8 |
mypy-extensions |
0.4.3 |
nbclient |
0.5.3 |
nbconvert |
6.1.0 |
nbformat |
5.1.3 |
nest-asyncio |
1.5.1 |
networkx |
2.6.3 |
nltk |
3.6.5 |
notebook |
6.4.5 |
numba |
0.54.1 |
numpy |
1.20.3 |
oauthlib |
3.2.0 |
opt-einsum |
3.3.0 |
packaging |
21.0 |
pandas |
1.3.4 |
pandas-profiling |
3.1.0 |
pandocfilters |
1.4.3 |
paramiko |
2.9.2 |
parso |
0.8.2 |
pathspec |
0.9.0 |
pathy |
0.6.2 |
patsy |
0.5.2 |
petastorm |
0.11.4 |
pexpect |
4.8.0 |
phik |
0.12.2 |
pickleshare |
0.7.5 |
Pillow |
8.4.0 |
pip |
21.2.4 |
platformdirs |
2.5.2 |
plotly |
5.9.0 |
pmdarima |
1.8.5 |
preshed |
3.0.7 |
prometheus-client |
0.11.0 |
prompt-toolkit |
3.0.20 |
prophet |
1.0.1 |
protobuf |
3.19.4 |
psutil |
5.8.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pyarrow |
7.0.0 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.10.0 |
pycparser |
2.20 |
pydantic |
1.9.2 |
Pygments |
2.10.0 |
PyGObject |
3.36.0 |
PyJWT |
2.4.0 |
PyMeeus |
0.5.11 |
PyNaCl |
1.5.0 |
pyodbc |
4.0.31 |
pyparsing |
3.0.4 |
pyrsistent |
0.18.0 |
pystan |
2.19.1.1 |
python-apt |
2.0.0+ubuntu0.20.4.7 |
python-dateutil |
2.8.2 |
python-editor |
1.0.4 |
pytz |
2021.3 |
PyWavelets |
1.1.1 |
PyYAML |
6.0 |
pyzmq |
22.2.1 |
regex |
2021.8.3 |
requests |
2.26.0 |
requests-oauthlib |
1.3.1 |
requests-unixsocket |
0.2.0 |
rsa |
4.9 |
s3transfer |
0.5.2 |
scikit-learn |
0.24.2 |
scipy |
1.7.1 |
seaborn |
0.11.2 |
Send2Trash |
1.8.0 |
setuptools |
58.0.4 |
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 |
spacy |
3.4.0 |
spacy-legacy |
3.0.9 |
spacy-loggers |
1.0.3 |
spark-tensorflow-distributor |
1.0.0 |
sqlparse |
0.4.2 |
srsly |
2.4.4 |
ssh-import-id |
5.10 |
statsmodels |
0.12.2 |
tabulate |
0.8.9 |
tangled-up-in-unicode |
0.1.0 |
tenacity |
8.0.1 |
tensorboard |
2.9.1 |
tensorboard-data-server |
0.6.1 |
tensorboard-plugin-profile |
2.8.0 |
tensorboard-plugin-wit |
1.8.1 |
tensorflow-cpu |
2.9.1 |
tensorflow-estimator |
2.9.0 |
tensorflow-io-gcs-filesystem |
0.26.0 |
termcolor |
1.1.0 |
terminado |
0.9.4 |
testpath |
0.5.0 |
thinc |
8.1.0 |
threadpoolctl |
2.2.0 |
tokenize-rt |
4.2.1 |
tokenizers |
0.12.1 |
tomli |
2.0.1 |
torch |
1.11.0+cpu |
torchvision |
0.12.0+cpu |
tornado |
6.1 |
tqdm |
4.62.3 |
traitlets |
5.1.0 |
transformers |
4.20.1 |
typer |
0.4.2 |
typing-extensions |
3.10.0.2 |
ujson |
4.0.2 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.7 |
virtualenv |
20.8.0 |
visions |
0.7.4 |
wasabi |
0.10.1 |
wcwidth |
0.2.5 |
webencodings |
0.5.1 |
websocket-client |
1.3.1 |
Werkzeug |
2.0.2 |
wheel |
0.37.0 |
widgetsnbextension |
3.6.0 |
wrapt |
1.12.1 |
xgboost |
1.5.2 |
zipp |
3.6.0 |
Python libraries on GPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
Antergos Linux |
2015.10 (ISO-Rolling) |
argon2-cffi |
20.1.0 |
astor |
0.8.1 |
astunparse |
1.6.3 |
async-generator |
1.10 |
attrs |
21.2.0 |
azure-core |
1.22.1 |
azure-cosmos |
4.2.0 |
backcall |
0.2.0 |
backports.entry-points-selectable |
1.1.1 |
bcrypt |
3.2.2 |
black |
22.3.0 |
bleach |
4.0.0 |
blis |
0.7.8 |
boto3 |
1.21.18 |
botocore |
1.24.18 |
cachetools |
5.2.0 |
catalogue |
2.0.8 |
certifi |
2021.10.8 |
cffi |
1.14.6 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
click |
8.0.3 |
cloudpickle |
2.0.0 |
cmdstanpy |
0.9.68 |
configparser |
5.2.0 |
convertdate |
2.4.0 |
cryptography |
3.4.8 |
cycler |
0.10.0 |
cymem |
2.0.6 |
Cython |
0.29.24 |
databricks-automl-runtime |
0.2.10 |
databricks-cli |
0.17.0 |
dbl-tempo |
0.1.12 |
dbus-python |
1.2.16 |
debugpy |
1.4.1 |
decorator |
5.1.0 |
defusedxml |
0.7.1 |
dill |
0.3.4 |
diskcache |
5.4.0 |
distlib |
0.3.5 |
distro-info |
0.23ubuntu1 |
entrypoints |
0.3 |
ephem |
4.1.3 |
facets-overview |
1.0.0 |
fasttext |
0.9.2 |
filelock |
3.3.1 |
Flask |
1.1.2 |
flatbuffers |
1.12 |
fsspec |
2021.8.1 |
future |
0.18.2 |
gast |
0.4.0 |
gitdb |
4.0.9 |
GitPython |
3.1.27 |
google-auth |
2.6.0 |
google-auth-oauthlib |
0.4.6 |
google-pasta |
0.2.0 |
grpcio |
1.44.0 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
h5py |
3.3.0 |
hijri-converter |
2.2.4 |
holidays |
0.14.2 |
horovod |
0.25.0 |
htmlmin |
0.1.12 |
huggingface-hub |
0.8.1 |
idna |
3.2 |
ImageHash |
4.2.1 |
imbalanced-learn |
0.8.1 |
importlib-metadata |
4.8.1 |
ipykernel |
6.12.1 |
ipython |
7.32.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.7.0 |
isodate |
0.6.1 |
itsdangerous |
2.0.1 |
jedi |
0.18.0 |
Jinja2 |
2.11.3 |
jmespath |
0.10.0 |
joblib |
1.0.1 |
joblibspark |
0.5.0 |
jsonschema |
3.2.0 |
jupyter-client |
6.1.12 |
jupyter-core |
4.8.1 |
jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 |
keras |
2.9.0 |
Keras-Preprocessing |
1.1.2 |
kiwisolver |
1.3.1 |
korean-lunar-calendar |
0.2.1 |
langcodes |
3.3.0 |
libclang |
14.0.6 |
lightgbm |
3.3.2 |
llvmlite |
0.37.0 |
LunarCalendar |
0.0.9 |
Mako |
1.2.0 |
Markdown |
3.3.6 |
MarkupSafe |
2.0.1 |
matplotlib |
3.4.3 |
matplotlib-inline |
0.1.2 |
missingno |
0.5.1 |
mistune |
0.8.4 |
mleap |
0.20.0 |
mlflow-skinny |
1.28.0 |
multimethod |
1.8 |
murmurhash |
1.0.8 |
mypy-extensions |
0.4.3 |
nbclient |
0.5.3 |
nbconvert |
6.1.0 |
nbformat |
5.1.3 |
nest-asyncio |
1.5.1 |
networkx |
2.6.3 |
nltk |
3.6.5 |
notebook |
6.4.5 |
numba |
0.54.1 |
numpy |
1.20.3 |
oauthlib |
3.2.0 |
opt-einsum |
3.3.0 |
packaging |
21.0 |
pandas |
1.3.4 |
pandas-profiling |
3.1.0 |
pandocfilters |
1.4.3 |
paramiko |
2.9.2 |
parso |
0.8.2 |
pathspec |
0.9.0 |
pathy |
0.6.2 |
patsy |
0.5.2 |
petastorm |
0.11.4 |
pexpect |
4.8.0 |
phik |
0.12.2 |
pickleshare |
0.7.5 |
Pillow |
8.4.0 |
pip |
21.2.4 |
platformdirs |
2.5.2 |
plotly |
5.9.0 |
pmdarima |
1.8.5 |
preshed |
3.0.7 |
prompt-toolkit |
3.0.20 |
prophet |
1.0.1 |
protobuf |
3.19.4 |
psutil |
5.8.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pyarrow |
7.0.0 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.10.0 |
pycparser |
2.20 |
pydantic |
1.9.2 |
Pygments |
2.10.0 |
PyGObject |
3.36.0 |
PyJWT |
2.4.0 |
PyMeeus |
0.5.11 |
PyNaCl |
1.5.0 |
pyodbc |
4.0.31 |
pyparsing |
3.0.4 |
pyrsistent |
0.18.0 |
pystan |
2.19.1.1 |
python-apt |
2.0.0+ubuntu0.20.4.7 |
python-dateutil |
2.8.2 |
python-editor |
1.0.4 |
pytz |
2021.3 |
PyWavelets |
1.1.1 |
PyYAML |
6.0 |
pyzmq |
22.2.1 |
regex |
2021.8.3 |
requests |
2.26.0 |
requests-oauthlib |
1.3.1 |
requests-unixsocket |
0.2.0 |
rsa |
4.9 |
s3transfer |
0.5.2 |
scikit-learn |
0.24.2 |
scipy |
1.7.1 |
seaborn |
0.11.2 |
Send2Trash |
1.8.0 |
setuptools |
58.0.4 |
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 |
spacy |
3.4.0 |
spacy-legacy |
3.0.9 |
spacy-loggers |
1.0.3 |
spark-tensorflow-distributor |
1.0.0 |
sqlparse |
0.4.2 |
srsly |
2.4.4 |
ssh-import-id |
5.10 |
statsmodels |
0.12.2 |
tabulate |
0.8.9 |
tangled-up-in-unicode |
0.1.0 |
tenacity |
8.0.1 |
tensorboard |
2.9.1 |
tensorboard-data-server |
0.6.1 |
tensorboard-plugin-profile |
2.8.0 |
tensorboard-plugin-wit |
1.8.1 |
tensorflow |
2.9.1 |
tensorflow-estimator |
2.9.0 |
tensorflow-io-gcs-filesystem |
0.26.0 |
termcolor |
1.1.0 |
terminado |
0.9.4 |
testpath |
0.5.0 |
thinc |
8.1.0 |
threadpoolctl |
2.2.0 |
tokenize-rt |
4.2.1 |
tokenizers |
0.12.1 |
tomli |
2.0.1 |
torch |
1.11.0+cu113 |
torchvision |
0.12.0+cu113 |
tornado |
6.1 |
tqdm |
4.62.3 |
traitlets |
5.1.0 |
transformers |
4.20.1 |
typer |
0.4.2 |
typing-extensions |
3.10.0.2 |
ujson |
4.0.2 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.7 |
virtualenv |
20.8.0 |
visions |
0.7.4 |
wasabi |
0.10.1 |
wcwidth |
0.2.5 |
webencodings |
0.5.1 |
websocket-client |
1.3.1 |
Werkzeug |
2.0.2 |
wheel |
0.37.0 |
widgetsnbextension |
3.6.0 |
wrapt |
1.12.1 |
xgboost |
1.5.2 |
zipp |
3.6.0 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 11.2.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 11.2, Databricks Runtime 11.2 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 |
1.5.2 |
ml.dmlc |
xgboost4j_2.12 |
1.5.2 |
org.graphframes |
graphframes_2.12 |
0.8.2-db1-spark3.2 |
org.mlflow |
mlflow-client |
1.28.0 |
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 |
1.5.2 |
ml.dmlc |
xgboost4j-spark-gpu_2.12 |
1.5.2 |
org.graphframes |
graphframes_2.12 |
0.8.2-db1-spark3.2 |
org.mlflow |
mlflow-client |
1.28.0 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |
