Databricks Runtime 11.2 for Machine Learning (unsupported)

  • Article

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.

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.

  • For online stores, the user and password fields have been deprecated. To avoid future incompatibilities, change all uses of these fields to write_secret_prefix.

  • 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:

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 Azure 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