Databricks Runtime 11.3 LTS for Machine Learning

Databricks Runtime 11.3 LTS for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 11.3 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.

For more information, including instructions for creating a Databricks Runtime ML cluster, see Databricks Runtime for Machine Learning.

New features and improvements

Databricks Runtime 11.3 LTS ML is built on top of Databricks Runtime 11.3 LTS. For information on what’s new in Databricks Runtime 11.3 LTS, including Apache Spark MLlib and SparkR, see the Databricks Runtime 11.3 LTS release notes.

Enhancements to Databricks AutoML

Databricks AutoML now supports the use of existing Feature Store feature tables in your AutoML experiments. For details, see Feature Store integration.

Trial notebooks generated by AutoML now contain code snippets that enable users to rerun hyperparameter tuning.

AutoML now supports DecimalType features.

Bug fixes

Databricks Runtime 11.3 LTS ML includes an upgraded version of sparkdl.xgboost. Previous versions of sparkdl.xgboost contain bugs that are fixed in this release, so Databricks recommends that users of the library upgrade to Databricks Runtime 11.3 LTS ML.

Prepare for future releases

An upcoming release of Databricks Runtime ML will include sklearn version 1.0. Visit the sklearn documentation for information on how to prepare for this change.

Databricks Runtime ML contains two openblas packages. The /opt/OpenBLAS package is deprecated in Databricks Runtime 11.3 LTS ML and will be removed in an upcoming release.

System environment

The system environment in Databricks Runtime 11.3 LTS ML differs from Databricks Runtime 11.3 LTS as follows:

Databricks Runtime 11.3 LTS ML includes XGBoost 1.6.1, which does not support GPU clusters with compute capability 5.2 and below.

Libraries

The following sections list the libraries included in Databricks Runtime 11.3 LTS ML that differ from those included in Databricks Runtime 11.3 LTS.

Python libraries

Databricks Runtime 11.3 LTS ML uses Virtualenv for Python package management and includes many popular ML packages.

In addition to the packages specified in the following sections, Databricks Runtime 11.3 LTS ML also includes the following packages:

  • hyperopt 0.2.7.db1

  • sparkdl 2.3.0-db3

  • feature_store 0.7.0

  • automl 1.13.2

To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-11.3.txt file and run pip install -r requirements-11.3.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install libraries developed by Databricks, such as databricks-automl, databricks-feature-store, or the Databricks fork of hyperopt.

Python libraries on CPU clusters

Library

Version

Library

Version

Library

Version

absl-py

1.0.0

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

4.0.0

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

confection

0.0.1

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

0.2.11

databricks-cli

0.17.3

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

0.3.6

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

0.15

horovod

0.25.0

htmlmin

0.1.12

huggingface-hub

0.9.1

idna

3.2

ImageHash

4.3.0

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

0.3.1

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

1.29.0

multimethod

1.9

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

2.5.0

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-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

0.11.3

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

3.4.1

spacy-legacy

3.0.10

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

0.27.0

termcolor

2.0.1

terminado

0.9.4

testpath

0.5.0

thinc

8.1.2

threadpoolctl

2.2.0

tokenize-rt

4.2.1

tokenizers

0.12.1

tomli

2.0.1

torch

1.12.1+cpu

torchvision

0.13.1+cpu

tornado

6.1

tqdm

4.62.3

traitlets

5.1.0

transformers

4.21.2

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

1.6.2

zipp

3.6.0

Python libraries on GPU clusters

Library

Version

Library

Version

Library

Version

absl-py

1.0.0

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

4.0.0

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

confection

0.0.1

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

0.2.11

databricks-cli

0.17.3

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

0.3.6

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

0.15

horovod

0.25.0

htmlmin

0.1.12

huggingface-hub

0.9.1

idna

3.2

ImageHash

4.3.0

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

0.3.1

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

1.29.0

multimethod

1.9

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

2.5.0

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-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

0.11.3

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

3.4.1

spacy-legacy

3.0.10

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

0.27.0

termcolor

2.0.1

terminado

0.9.4

testpath

0.5.0

thinc

8.1.2

threadpoolctl

2.2.0

tokenize-rt

4.2.1

tokenizers

0.12.1

tomli

2.0.1

torch

1.12.1+cu113

torchvision

0.13.1+cu113

tornado

6.1

tqdm

4.62.3

traitlets

5.1.0

transformers

4.21.2

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

1.6.2

zipp

3.6.0

R libraries

The R libraries are identical to the R Libraries in Databricks Runtime 11.3 LTS.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 11.3 LTS, Databricks Runtime 11.3 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

v0.20.0-db1

ml.dmlc

xgboost4j-spark_2.12

1.6.2

ml.dmlc

xgboost4j_2.12

1.6.2

org.graphframes

graphframes_2.12

0.8.2-db1-spark3.2

org.mlflow

mlflow-client

1.29.0

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

1.6.2

ml.dmlc

xgboost4j-spark-gpu_2.12

1.6.2

org.graphframes

graphframes_2.12

0.8.2-db1-spark3.2

org.mlflow

mlflow-client

1.29.0

org.scala-lang.modules

scala-java8-compat_2.12

0.8.0

org.tensorflow

spark-tensorflow-connector_2.12

1.15.0