Amazon
Web Services
Microsoft Azure
Google Cloud PlatformDatabricks Runtime 10.4 LTS for Machine Learning
Databricks Runtime 10.4 LTS for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 10.4 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.
Note
LTS means this version is under long-term support. See Databricks Runtime LTS version lifecycle.
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 10.4 LTS ML is built on top of Databricks Runtime 10.4 LTS. For information on what’s new in Databricks Runtime 10.4 LTS, including Apache Spark MLlib and SparkR, see the Databricks Runtime 10.4 LTS release notes.
Enhancements to Databricks AutoML
The following enhancements have been made to Databricks AutoML.
Databricks AutoML is generally available
Starting with Databricks Runtime 10.4 LTS ML, Databricks AutoML is generally available.
Imputation of missing values
You can now specify how null values are imputed. By default, AutoML selects an imputation method based on the column type and content. See Imputation of missing values.
Column selection from UI
For classification and regression problems, you can now use the UI in addition to the API to specify columns that AutoML should ignore during its calculations. See Column selection for details.
Custom location of generated notebooks and experiment
You can now specify a location in the workspace where AutoML should save generated notebooks and experiments. Use the experiment_dir parameter. See Classification and regression parameters.
Enhancements to Databricks Feature Store
The following enhancements have been made to Databricks Feature Store.
You can now register an existing Delta table as a feature table.
You can now publish offline feature tables to Amazon DynamoDB for low-latency online lookup. See Publish features to an online store and Publish time series features to an online store.
System environment
The system environment in Databricks Runtime 10.4 LTS ML differs from Databricks Runtime 10.4 LTS 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 11.0
cuDNN 8.0.5.39
NCCL 2.10.3
TensorRT 7.2.2
Libraries
The following sections list the libraries included in Databricks Runtime 10.4 LTS ML that differ from those included in Databricks Runtime 10.4 LTS.
In this section:
Top-tier libraries
Databricks Runtime 10.4 LTS ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 10.4 LTS 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 10.4 LTS ML also includes the following packages:
hyperopt 0.2.7.db1
sparkdl 2.2.0-db5
feature_store 0.3.8
automl 1.7.2
Python libraries on CPU clusters
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-10.4.txt file and run pip install -r requirements-10.4.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 |
0.11.0 |
Antergos Linux |
2015.10 (ISO-Rolling) |
appdirs |
1.4.4 |
argon2-cffi |
20.1.0 |
astor |
0.8.1 |
astunparse |
1.6.3 |
async-generator |
1.10 |
attrs |
20.3.0 |
backcall |
0.2.0 |
bcrypt |
3.2.0 |
bidict |
0.21.4 |
bleach |
3.3.0 |
blis |
0.7.4 |
boto3 |
1.16.7 |
botocore |
1.19.7 |
cachetools |
4.2.4 |
catalogue |
2.0.6 |
certifi |
2020.12.5 |
cffi |
1.14.5 |
chardet |
4.0.0 |
click |
7.1.2 |
cloudpickle |
1.6.0 |
cmdstanpy |
0.9.68 |
configparser |
5.0.1 |
convertdate |
2.3.2 |
cryptography |
3.4.7 |
cycler |
0.10.0 |
cymem |
2.0.5 |
Cython |
0.29.23 |
databricks-automl-runtime |
0.2.6 |
databricks-cli |
0.16.3 |
dbl-tempo |
0.1.2 |
dbus-python |
1.2.16 |
decorator |
5.0.6 |
defusedxml |
0.7.1 |
dill |
0.3.2 |
diskcache |
5.2.1 |
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 |
3.0.12 |
Flask |
1.1.2 |
flatbuffers |
2.0 |
fsspec |
0.9.0 |
future |
0.18.2 |
gast |
0.4.0 |
gitdb |
4.0.7 |
GitPython |
3.1.12 |
google-auth |
1.22.1 |
google-auth-oauthlib |
0.4.2 |
google-pasta |
0.2.0 |
grpcio |
1.39.0 |
gunicorn |
20.0.4 |
gviz-api |
1.10.0 |
h5py |
3.1.0 |
hijri-converter |
2.2.3 |
holidays |
0.12 |
horovod |
0.23.0 |
htmlmin |
0.1.12 |
huggingface-hub |
0.1.2 |
idna |
2.10 |
ImageHash |
4.2.1 |
imbalanced-learn |
0.8.1 |
importlib-metadata |
3.10.0 |
ipykernel |
5.3.4 |
ipython |
7.22.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.6.3 |
isodate |
0.6.0 |
itsdangerous |
1.1.0 |
jedi |
0.17.2 |
Jinja2 |
2.11.3 |
jmespath |
0.10.0 |
joblib |
1.0.1 |
joblibspark |
0.3.0 |
jsonschema |
3.2.0 |
jupyter-client |
6.1.12 |
jupyter-core |
4.7.1 |
jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 |
keras |
2.8.0 |
Keras-Preprocessing |
1.1.2 |
kiwisolver |
1.3.1 |
koalas |
1.8.2 |
korean-lunar-calendar |
0.2.1 |
langcodes |
3.3.0 |
libclang |
13.0.0 |
lightgbm |
3.3.2 |
llvmlite |
0.38.0 |
LunarCalendar |
0.0.9 |
Mako |
1.1.3 |
Markdown |
3.3.3 |
MarkupSafe |
2.0.1 |
matplotlib |
3.4.2 |
missingno |
0.5.1 |
mistune |
0.8.4 |
mleap |
0.18.1 |
mlflow-skinny |
1.24.0 |
multimethod |
1.7 |
murmurhash |
1.0.5 |
nbclient |
0.5.3 |
nbconvert |
6.0.7 |
nbformat |
5.1.3 |
nest-asyncio |
1.5.1 |
networkx |
2.5 |
nltk |
3.6.1 |
notebook |
6.3.0 |
numba |
0.55.1 |
numpy |
1.20.1 |
oauthlib |
3.1.0 |
opt-einsum |
3.3.0 |
packaging |
21.3 |
pandas |
1.2.4 |
pandas-profiling |
3.1.0 |
pandocfilters |
1.4.3 |
paramiko |
2.7.2 |
parso |
0.7.0 |
pathy |
0.6.0 |
patsy |
0.5.1 |
petastorm |
0.11.4 |
pexpect |
4.8.0 |
phik |
0.12.0 |
pickleshare |
0.7.5 |
Pillow |
8.2.0 |
pip |
21.0.1 |
plotly |
5.5.0 |
pmdarima |
1.8.4 |
preshed |
3.0.5 |
prometheus-client |
0.10.1 |
prompt-toolkit |
3.0.17 |
prophet |
1.0.1 |
protobuf |
3.17.2 |
psutil |
5.8.0 |
psycopg2 |
2.8.5 |
ptyprocess |
0.7.0 |
pyarrow |
4.0.0 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.9.1 |
pycparser |
2.20 |
pydantic |
1.8.2 |
Pygments |
2.8.1 |
PyGObject |
3.36.0 |
PyMeeus |
0.5.11 |
PyNaCl |
1.4.0 |
pyodbc |
4.0.30 |
pyparsing |
2.4.7 |
pyrsistent |
0.17.3 |
pystan |
2.19.1.1 |
python-apt |
2.0.0+ubuntu0.20.4.7 |
python-dateutil |
2.8.1 |
python-editor |
1.0.4 |
python-engineio |
4.3.0 |
python-socketio |
5.4.1 |
pytz |
2020.5 |
PyWavelets |
1.1.1 |
PyYAML |
5.4.1 |
pyzmq |
20.0.0 |
regex |
2021.4.4 |
requests |
2.25.1 |
requests-oauthlib |
1.3.0 |
requests-unixsocket |
0.2.0 |
rsa |
4.7.2 |
s3transfer |
0.3.7 |
sacremoses |
0.0.46 |
scikit-learn |
0.24.1 |
scipy |
1.6.2 |
seaborn |
0.11.1 |
Send2Trash |
1.5.0 |
setuptools |
52.0.0 |
setuptools-git |
1.2 |
shap |
0.40.0 |
simplejson |
3.17.2 |
six |
1.15.0 |
slicer |
0.0.7 |
smart-open |
5.2.0 |
smmap |
3.0.5 |
spacy |
3.2.1 |
spacy-legacy |
3.0.8 |
spacy-loggers |
1.0.1 |
spark-tensorflow-distributor |
1.0.0 |
sqlparse |
0.4.1 |
srsly |
2.4.1 |
ssh-import-id |
5.10 |
statsmodels |
0.12.2 |
tabulate |
0.8.7 |
tangled-up-in-unicode |
0.1.0 |
tenacity |
6.2.0 |
tensorboard |
2.8.0 |
tensorboard-data-server |
0.6.1 |
tensorboard-plugin-profile |
2.5.0 |
tensorboard-plugin-wit |
1.8.1 |
tensorflow-cpu |
2.8.0 |
tensorflow-estimator |
2.8.0 |
tensorflow-io-gcs-filesystem |
0.24.0 |
termcolor |
1.1.0 |
terminado |
0.9.4 |
testpath |
0.4.4 |
tf-estimator-nightly |
2.8.0.dev2021122109 |
thinc |
8.0.12 |
threadpoolctl |
2.1.0 |
tokenizers |
0.10.3 |
torch |
1.10.2+cpu |
torchvision |
0.11.3+cpu |
tornado |
6.1 |
tqdm |
4.59.0 |
traitlets |
5.0.5 |
transformers |
4.16.2 |
typer |
0.3.2 |
typing-extensions |
3.7.4.3 |
ujson |
4.0.2 |
unattended-upgrades |
0.1 |
urllib3 |
1.25.11 |
virtualenv |
20.4.1 |
visions |
0.7.4 |
wasabi |
0.8.2 |
wcwidth |
0.2.5 |
webencodings |
0.5.1 |
websocket-client |
0.57.0 |
Werkzeug |
1.0.1 |
wheel |
0.36.2 |
widgetsnbextension |
3.5.1 |
wrapt |
1.12.1 |
xgboost |
1.5.2 |
zipp |
3.4.1 |
Python libraries on GPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
0.11.0 |
Antergos Linux |
2015.10 (ISO-Rolling) |
appdirs |
1.4.4 |
argon2-cffi |
20.1.0 |
astor |
0.8.1 |
astunparse |
1.6.3 |
async-generator |
1.10 |
attrs |
20.3.0 |
backcall |
0.2.0 |
bcrypt |
3.2.0 |
bidict |
0.21.4 |
bleach |
3.3.0 |
blis |
0.7.4 |
boto3 |
1.16.7 |
botocore |
1.19.7 |
cachetools |
4.2.4 |
catalogue |
2.0.6 |
certifi |
2020.12.5 |
cffi |
1.14.5 |
chardet |
4.0.0 |
click |
7.1.2 |
cloudpickle |
1.6.0 |
cmdstanpy |
0.9.68 |
configparser |
5.0.1 |
convertdate |
2.3.2 |
cryptography |
3.4.7 |
cycler |
0.10.0 |
cymem |
2.0.5 |
Cython |
0.29.23 |
databricks-automl-runtime |
0.2.6 |
databricks-cli |
0.16.3 |
dbl-tempo |
0.1.2 |
dbus-python |
1.2.16 |
decorator |
5.0.6 |
defusedxml |
0.7.1 |
dill |
0.3.2 |
diskcache |
5.2.1 |
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 |
3.0.12 |
Flask |
1.1.2 |
flatbuffers |
2.0 |
fsspec |
0.9.0 |
future |
0.18.2 |
gast |
0.4.0 |
gitdb |
4.0.7 |
GitPython |
3.1.12 |
google-auth |
1.22.1 |
google-auth-oauthlib |
0.4.2 |
google-pasta |
0.2.0 |
grpcio |
1.39.0 |
gunicorn |
20.0.4 |
gviz-api |
1.10.0 |
h5py |
3.1.0 |
hijri-converter |
2.2.3 |
holidays |
0.12 |
horovod |
0.23.0 |
htmlmin |
0.1.12 |
huggingface-hub |
0.1.2 |
idna |
2.10 |
ImageHash |
4.2.1 |
imbalanced-learn |
0.8.1 |
importlib-metadata |
3.10.0 |
ipykernel |
5.3.4 |
ipython |
7.22.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.6.3 |
isodate |
0.6.0 |
itsdangerous |
1.1.0 |
jedi |
0.17.2 |
Jinja2 |
2.11.3 |
jmespath |
0.10.0 |
joblib |
1.0.1 |
joblibspark |
0.3.0 |
jsonschema |
3.2.0 |
jupyter-client |
6.1.12 |
jupyter-core |
4.7.1 |
jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 |
keras |
2.8.0 |
Keras-Preprocessing |
1.1.2 |
kiwisolver |
1.3.1 |
koalas |
1.8.2 |
korean-lunar-calendar |
0.2.1 |
langcodes |
3.3.0 |
libclang |
13.0.0 |
lightgbm |
3.3.2 |
llvmlite |
0.38.0 |
LunarCalendar |
0.0.9 |
Mako |
1.1.3 |
Markdown |
3.3.3 |
MarkupSafe |
2.0.1 |
matplotlib |
3.4.2 |
missingno |
0.5.1 |
mistune |
0.8.4 |
mleap |
0.18.1 |
mlflow-skinny |
1.24.0 |
multimethod |
1.7 |
murmurhash |
1.0.5 |
nbclient |
0.5.3 |
nbconvert |
6.0.7 |
nbformat |
5.1.3 |
nest-asyncio |
1.5.1 |
networkx |
2.5 |
nltk |
3.6.1 |
notebook |
6.3.0 |
numba |
0.55.1 |
numpy |
1.20.1 |
oauthlib |
3.1.0 |
opt-einsum |
3.3.0 |
packaging |
21.3 |
pandas |
1.2.4 |
pandas-profiling |
3.1.0 |
pandocfilters |
1.4.3 |
paramiko |
2.7.2 |
parso |
0.7.0 |
pathy |
0.6.0 |
patsy |
0.5.1 |
petastorm |
0.11.4 |
pexpect |
4.8.0 |
phik |
0.12.0 |
pickleshare |
0.7.5 |
Pillow |
8.2.0 |
pip |
21.0.1 |
plotly |
5.5.0 |
pmdarima |
1.8.4 |
preshed |
3.0.5 |
prompt-toolkit |
3.0.17 |
prophet |
1.0.1 |
protobuf |
3.17.2 |
psutil |
5.8.0 |
psycopg2 |
2.8.5 |
ptyprocess |
0.7.0 |
pyarrow |
4.0.0 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.9.1 |
pycparser |
2.20 |
pydantic |
1.8.2 |
Pygments |
2.8.1 |
PyGObject |
3.36.0 |
PyMeeus |
0.5.11 |
PyNaCl |
1.4.0 |
pyodbc |
4.0.30 |
pyparsing |
2.4.7 |
pyrsistent |
0.17.3 |
pystan |
2.19.1.1 |
python-apt |
2.0.0+ubuntu0.20.4.7 |
python-dateutil |
2.8.1 |
python-editor |
1.0.4 |
python-engineio |
4.3.0 |
python-socketio |
5.4.1 |
pytz |
2020.5 |
PyWavelets |
1.1.1 |
PyYAML |
5.4.1 |
pyzmq |
20.0.0 |
regex |
2021.4.4 |
requests |
2.25.1 |
requests-oauthlib |
1.3.0 |
requests-unixsocket |
0.2.0 |
rsa |
4.7.2 |
s3transfer |
0.3.7 |
sacremoses |
0.0.46 |
scikit-learn |
0.24.1 |
scipy |
1.6.2 |
seaborn |
0.11.1 |
Send2Trash |
1.5.0 |
setuptools |
52.0.0 |
setuptools-git |
1.2 |
shap |
0.40.0 |
simplejson |
3.17.2 |
six |
1.15.0 |
slicer |
0.0.7 |
smart-open |
5.2.0 |
smmap |
3.0.5 |
spacy |
3.2.1 |
spacy-legacy |
3.0.8 |
spacy-loggers |
1.0.1 |
spark-tensorflow-distributor |
1.0.0 |
sqlparse |
0.4.1 |
srsly |
2.4.1 |
ssh-import-id |
5.10 |
statsmodels |
0.12.2 |
tabulate |
0.8.7 |
tangled-up-in-unicode |
0.1.0 |
tenacity |
6.2.0 |
tensorboard |
2.8.0 |
tensorboard-data-server |
0.6.1 |
tensorboard-plugin-profile |
2.5.0 |
tensorboard-plugin-wit |
1.8.1 |
tensorflow |
2.8.0 |
tensorflow-estimator |
2.8.0 |
tensorflow-io-gcs-filesystem |
0.24.0 |
termcolor |
1.1.0 |
terminado |
0.9.4 |
testpath |
0.4.4 |
tf-estimator-nightly |
2.8.0.dev2021122109 |
thinc |
8.0.12 |
threadpoolctl |
2.1.0 |
tokenizers |
0.10.3 |
torch |
1.10.2+cu111 |
torchvision |
0.11.3+cu111 |
tornado |
6.1 |
tqdm |
4.59.0 |
traitlets |
5.0.5 |
transformers |
4.16.2 |
typer |
0.3.2 |
typing-extensions |
3.7.4.3 |
ujson |
4.0.2 |
unattended-upgrades |
0.1 |
urllib3 |
1.25.11 |
virtualenv |
20.4.1 |
visions |
0.7.4 |
wasabi |
0.8.2 |
wcwidth |
0.2.5 |
webencodings |
0.5.1 |
websocket-client |
0.57.0 |
Werkzeug |
1.0.1 |
wheel |
0.36.2 |
widgetsnbextension |
3.5.1 |
wrapt |
1.12.1 |
xgboost |
1.5.2 |
zipp |
3.4.1 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 10.4 LTS.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 10.4 LTS, Databricks Runtime 10.4 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 |
0.18.1-23eb1ef |
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 |
1.24.0 |
org.mlflow |
mlflow-spark |
1.24.0 |
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 |
0.18.1-23eb1ef |
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 |
1.24.0 |
org.mlflow |
mlflow-spark |
1.24.0 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |
