Databricks Runtime 10.5 for Machine Learning (Unsupported)

Databricks Runtime 10.5 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 10.5 (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 Databricks Runtime for Machine Learning.

New features and improvements

Databricks Runtime 10.5 ML is built on top of Databricks Runtime 10.5. For information on what’s new in Databricks Runtime 10.5, including Apache Spark MLlib and SparkR, see the Databricks Runtime 10.5 (Unsupported) release notes.

Enhancements to Databricks AutoML

The following enhancements have been made to Databricks AutoML.

  • Improved memory usage allows AutoML to train on larger datasets.

  • With AutoML forecasting, you can now export the best model’s predictions to a table using the API. If output_database is provided, AutoML saves predictions of the best model to a new table in the specified database. The predictions are not saved if output_database is not specified.

Enhancements to Databricks Feature Store

The following enhancements have been made to Databricks Feature Store.

  • The Feature Store client now supports publishing to a DynamoDB online store without explicitly passing in secrets. Instead, you can use the attached instance profile from the running Databricks cluster. For instructions, see Publish features to an online feature store. For API details, see Python API.

System environment

The system environment in Databricks Runtime 10.5 ML differs from Databricks Runtime 10.5 as follows:

Libraries

The following sections list the libraries included in Databricks Runtime 10.5 ML that differ from those included in Databricks Runtime 10.5.

Python libraries

Databricks Runtime 10.5 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 10.5 ML also includes the following packages:

  • hyperopt 0.2.7.db1

  • sparkdl 2.2.0-db6

  • feature_store 0.4.1

  • automl 1.8.0

Python libraries on CPU 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

0.7.7

boto3

1.16.7

botocore

1.19.7

cachetools

4.2.4

catalogue

2.0.7

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

2.4.0

cryptography

3.4.7

cycler

0.10.0

cymem

2.0.6

Cython

0.29.23

databricks-automl-runtime

0.2.7

databricks-cli

0.16.4

dbl-tempo

0.1.2

dbus-python

1.2.16

decorator

5.0.6

defusedxml

0.7.1

dill

0.3.2

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

3.0.12

Flask

1.1.2

flatbuffers

2.0

fsspec

0.9.0

future

0.18.2

gast

0.4.0

gitdb

4.0.9

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

0.13

horovod

0.23.0

htmlmin

0.1.12

huggingface-hub

0.5.1

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

1.8

murmurhash

1.0.6

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

0.6.1

patsy

0.5.1

petastorm

0.11.4

pexpect

4.8.0

phik

0.12.2

pickleshare

0.7.5

Pillow

8.2.0

pip

21.0.1

plotly

5.6.0

pmdarima

1.8.5

preshed

3.0.6

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

2.9.2

pycparser

2.20

pydantic

1.8.2

Pygments

2.8.1

PyGObject

3.36.0

PyMeeus

0.5.11

PyNaCl

1.5.0

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

4.8

s3transfer

0.3.7

sacremoses

0.0.49

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

5.2.1

smmap

3.0.5

spacy

3.2.3

spacy-legacy

3.0.9

spacy-loggers

1.0.2

spark-tensorflow-distributor

1.0.0

sqlparse

0.4.1

srsly

2.4.3

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

8.0.15

threadpoolctl

2.1.0

tokenizers

0.12.1

torch

1.10.2+cpu

torchvision

0.11.3+cpu

tornado

6.1

tqdm

4.59.0

traitlets

5.0.5

transformers

4.17.0

typer

0.4.1

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

0.9.1

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

0.7.7

boto3

1.16.7

botocore

1.19.7

cachetools

4.2.4

catalogue

2.0.7

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

2.4.0

cryptography

3.4.7

cycler

0.10.0

cymem

2.0.6

Cython

0.29.23

databricks-automl-runtime

0.2.7

databricks-cli

0.16.4

dbl-tempo

0.1.2

dbus-python

1.2.16

decorator

5.0.6

defusedxml

0.7.1

dill

0.3.2

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

3.0.12

Flask

1.1.2

flatbuffers

2.0

fsspec

0.9.0

future

0.18.2

gast

0.4.0

gitdb

4.0.9

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

0.13

horovod

0.23.0

htmlmin

0.1.12

huggingface-hub

0.5.1

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

1.8

murmurhash

1.0.6

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

0.6.1

patsy

0.5.1

petastorm

0.11.4

pexpect

4.8.0

phik

0.12.2

pickleshare

0.7.5

Pillow

8.2.0

pip

21.0.1

plotly

5.6.0

pmdarima

1.8.5

preshed

3.0.6

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

2.9.2

pycparser

2.20

pydantic

1.8.2

Pygments

2.8.1

PyGObject

3.36.0

PyMeeus

0.5.11

PyNaCl

1.5.0

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

4.8

s3transfer

0.3.7

sacremoses

0.0.49

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

5.2.1

smmap

3.0.5

spacy

3.2.3

spacy-legacy

3.0.9

spacy-loggers

1.0.2

spark-tensorflow-distributor

1.0.0

sqlparse

0.4.1

srsly

2.4.3

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

8.0.15

threadpoolctl

2.1.0

tokenizers

0.12.1

torch

1.10.2+cu113

torchvision

0.11.3+cu113

tornado

6.1

tqdm

4.59.0

traitlets

5.0.5

transformers

4.17.0

typer

0.4.1

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

0.9.1

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 10.5.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 10.5, Databricks Runtime 10.5 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