Amazon
Web Services
Microsoft Azure
Google Cloud PlatformDatabricks Runtime 11.1 for Machine Learning (EoS)
Note
Support for this Databricks Runtime version has ended. For the end-of-support date, see End-of-support history. For all supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility.
Databricks Runtime 11.1 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 11.1 (EoS). 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 11.1 ML is built on top of Databricks Runtime 11.1. For information on what’s new in Databricks Runtime 11.1, including Apache Spark MLlib and SparkR, see the Databricks Runtime 11.1 (EoS) release notes.
Enhancements to Mosaic AutoML
The following enhancements have been made to Mosaic AutoML.
When AutoML detects that a classification problem is binary, it calculates binary classification metrics and infers the positive class of the problem. You can also specify the positive class using a new
pos_labelparameter. For details, see Mosaic AutoML Python API reference.For forecasting problems, AutoML can now handle the scenario where the horizon is long relative to the time span of the training data.
Enhancements to Databricks Feature Store
The following enhancements have been made to Databricks Feature Store.
You can now manually update a feature table’s data sources by using the Feature Store Python API.
System environment
The system environment in Databricks Runtime 11.1 ML differs from Databricks Runtime 11.1 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 11.1 ML that differ from those included in Databricks Runtime 11.1.
In this section:
Top-tier libraries
Databricks Runtime 11.1 ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 11.1 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 11.1 ML also includes the following packages:
hyperopt 0.2.7.db1
sparkdl 2.2.0-db6
feature_store 0.5.0
automl 1.11.0
Python libraries on CPU 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 |
bleach |
4.0.0 |
blis |
0.7.8 |
boto3 |
1.21.18 |
botocore |
1.24.18 |
cachetools |
5.2.0 |
catalogue |
2.0.7 |
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 |
0.2.9.1 |
databricks-cli |
0.16.8 |
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 |
0.3.4 |
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 |
0.24.3 |
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 |
14.0.1 |
lightgbm |
3.3.2 |
llvmlite |
0.38.1 |
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 |
1.27.0 |
multimethod |
1.8 |
murmurhash |
1.0.7 |
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 |
0.55.2 |
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 |
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 |
5.8.2 |
pmdarima |
1.8.5 |
preshed |
3.0.6 |
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 |
2.9.2 |
pycparser |
2.20 |
pydantic |
1.8.2 |
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 |
4.8 |
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 |
0.40.0 |
simplejson |
3.17.6 |
six |
1.16.0 |
slicer |
0.0.7 |
smart-open |
5.2.1 |
smmap |
5.0.0 |
spacy |
3.3.1 |
spacy-legacy |
3.0.9 |
spacy-loggers |
1.0.2 |
spark-tensorflow-distributor |
1.0.0 |
sqlparse |
0.4.2 |
srsly |
2.4.3 |
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 |
8.0.17 |
threadpoolctl |
2.2.0 |
tokenizers |
0.12.1 |
torch |
1.11.0+cpu |
torchvision |
0.12.0+cpu |
tornado |
6.1 |
tqdm |
4.62.3 |
traitlets |
5.1.0 |
transformers |
4.20.0 |
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 |
0.9.1 |
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 |
bleach |
4.0.0 |
blis |
0.7.8 |
boto3 |
1.21.18 |
botocore |
1.24.18 |
cachetools |
5.2.0 |
catalogue |
2.0.7 |
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 |
0.2.9.1 |
databricks-cli |
0.16.8 |
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 |
0.3.4 |
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 |
0.24.3 |
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 |
14.0.1 |
lightgbm |
3.3.2 |
llvmlite |
0.38.1 |
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 |
1.27.0 |
multimethod |
1.8 |
murmurhash |
1.0.7 |
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 |
0.55.2 |
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 |
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 |
5.8.2 |
pmdarima |
1.8.5 |
preshed |
3.0.6 |
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 |
2.9.2 |
pycparser |
2.20 |
pydantic |
1.8.2 |
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 |
4.8 |
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 |
0.40.0 |
simplejson |
3.17.6 |
six |
1.16.0 |
slicer |
0.0.7 |
smart-open |
5.2.1 |
smmap |
5.0.0 |
spacy |
3.3.1 |
spacy-legacy |
3.0.9 |
spacy-loggers |
1.0.2 |
spark-tensorflow-distributor |
1.0.0 |
sqlparse |
0.4.2 |
srsly |
2.4.3 |
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 |
8.0.17 |
threadpoolctl |
2.2.0 |
tokenizers |
0.12.1 |
torch |
1.11.0+cu113 |
torchvision |
0.12.0+cu113 |
tornado |
6.1 |
tqdm |
4.62.3 |
traitlets |
5.1.0 |
transformers |
4.20.0 |
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 |
0.9.1 |
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 11.1.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 11.1, Databricks Runtime 11.1 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 |
0.20.0-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 |
1.27.0 |
org.mlflow |
mlflow-spark |
1.27.0 |
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 |
0.20.0-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 |
1.27.0 |
org.mlflow |
mlflow-spark |
1.27.0 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |