Databricks Runtime 10.4 LTS for Machine Learning

  • Article

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.

New data type

AutoML now supports numerical array types.

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.

System environment

The system environment in Databricks Runtime 10.4 LTS ML differs from Databricks Runtime 10.4 LTS as follows:

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 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 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

Spark packages containing Python modules

Spark Package Python Module Version
graphframes graphframes 0.8.2-db1-spark3.2

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