Databricks Runtime 13.1 for Machine Learning (EoS)

Note

Support for this Databricks Runtime version has ended. For the end-of-support date, see End-of-support history. For all supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility.

Databricks Runtime 13.1 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 13.1 (EoS). 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.

Note

These release notes may include references to features that are not available on Google Cloud as of this release.

New features and improvements

Databricks Runtime 13.1 ML is built on top of Databricks Runtime 13.1. For information on what’s new in Databricks Runtime 13.1, including Apache Spark MLlib and SparkR, see the Databricks Runtime 13.1 (EoS) release notes.

Changes to Databricks Feature Store

In Databricks Runtime 13.1 ML and above, in MySQL stores, publish_table uses LONGTEXT type for string data in feature tables. If you publish a table using Databricks Runtime 13.1 ML and then need to write to it using Databricks Runtime 13.0 or below, you must either use publish_table in overwrite mode, or drop and re-publish the online table.

System environment

The system environment in Databricks Runtime 13.1 ML differs from Databricks Runtime 13.1 as follows:

Databricks Runtime 13.1 ML includes XGBoost 1.7.5, which does not support GPU clusters with compute capability 5.2 and below.

Libraries

The following sections list the libraries included in Databricks Runtime 13.1 ML that differ from those included in Databricks Runtime 13.1.

Python libraries

Databricks Runtime 13.1 ML uses Virtualenv for Python package management and includes many popular ML packages.

The following Python libraries have been introduced with Databricks Runtime 13.1 ML:

  • langchain

  • librosa

  • pytesseract

  • sentencepiece

  • sentence-transformers

  • soundfile

  • tiktoken

In addition to the packages specified in the following sections, Databricks Runtime 13.1 ML also includes the following packages:

  • hyperopt 0.2.7+db3

  • sparkdl 3.0.0_db1

  • automl 1.18.0

To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-13.1.txt file and run pip install -r requirements-13.1.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

accelerate

0.18.0

aiohttp

3.8.4

aiosignal

1.3.1

appdirs

1.4.4

argon2-cffi

21.3.0

argon2-cffi-bindings

21.2.0

astor

0.8.1

asttokens

2.2.1

astunparse

1.6.3

async-timeout

4.0.2

attrs

21.4.0

audioread

3.0.0

azure-core

1.26.4

azure-cosmos

4.3.1b1

azure-storage-blob

12.16.0

azure-storage-file-datalake

12.11.0

backcall

0.2.0

bcrypt

3.2.0

beautifulsoup4

4.11.1

black

22.6.0

bleach

4.1.0

blinker

1.4

blis

0.7.9

boto3

1.24.28

botocore

1.27.28

cachetools

4.2.4

catalogue

2.0.8

category-encoders

2.6.0

certifi

2022.9.14

cffi

1.15.1

chardet

4.0.0

charset-normalizer

2.0.4

click

8.0.4

cloudpickle

2.0.0

cmdstanpy

1.1.0

confection

0.0.4

configparser

5.2.0

convertdate

2.4.0

cryptography

37.0.1

cycler

0.11.0

cymem

2.0.7

Cython

0.29.32

databricks-automl-runtime

0.2.16

databricks-cli

0.17.6

databricks-feature-store

0.12.0

dataclasses-json

0.5.7

datasets

2.12.0

dbl-tempo

0.1.23

dbus-python

1.2.18

debugpy

1.5.1

decorator

5.1.1

defusedxml

0.7.1

dill

0.3.4

diskcache

5.6.1

distlib

0.3.6

docstring-to-markdown

0.12

entrypoints

0.4

ephem

4.1.4

evaluate

0.4.0

executing

1.2.0

facets-overview

1.0.3

fastjsonschema

2.16.3

fasttext

0.9.2

filelock

3.6.0

Flask

1.1.2

flatbuffers

23.3.3

fonttools

4.25.0

frozenlist

1.3.3

fsspec

2022.7.1

future

0.18.2

gast

0.4.0

gitdb

4.0.10

GitPython

3.1.27

google-api-core

2.8.2

google-auth

1.33.0

google-auth-oauthlib

0.4.6

google-cloud-core

2.3.2

google-cloud-storage

2.8.0

google-crc32c

1.5.0

google-pasta

0.2.0

google-resumable-media

2.5.0

googleapis-common-protos

1.56.4

greenlet

1.1.1

grpcio

1.48.1

grpcio-status

1.48.1

gunicorn

20.1.0

gviz-api

1.10.0

h5py

3.7.0

hijri-converter

2.3.1

holidays

0.22

horovod

0.27.0

htmlmin

0.1.12

httplib2

0.20.2

huggingface-hub

0.14.1

idna

3.3

ImageHash

4.3.1

imbalanced-learn

0.8.1

importlib-metadata

4.11.3

ipykernel

6.17.1

ipython

8.10.0

ipython-genutils

0.2.0

ipywidgets

7.7.2

isodate

0.6.1

itsdangerous

2.0.1

jedi

0.18.1

jeepney

0.7.1

Jinja2

2.11.3

jmespath

0.10.0

joblib

1.2.0

joblibspark

0.5.1

jsonschema

4.16.0

jupyter-client

7.3.4

jupyter_core

4.11.2

jupyterlab-pygments

0.1.2

jupyterlab-widgets

1.0.0

keras

2.11.0

keyring

23.5.0

kiwisolver

1.4.2

korean-lunar-calendar

0.3.1

langchain

0.0.152

langcodes

3.3.0

launchpadlib

1.10.16

lazr.restfulclient

0.14.4

lazr.uri

1.0.6

lazy_loader

0.2

libclang

15.0.6.1

librosa

0.10.0

lightgbm

3.3.5

llvmlite

0.38.0

LunarCalendar

0.0.9

Mako

1.2.0

Markdown

3.3.4

MarkupSafe

2.0.1

marshmallow

3.19.0

marshmallow-enum

1.5.1

matplotlib

3.5.2

matplotlib-inline

0.1.6

mccabe

0.7.0

mistune

0.8.4

mleap

0.20.0

mlflow-skinny

2.3.1

more-itertools

8.10.0

msgpack

1.0.5

multidict

6.0.4

multimethod

1.9.1

multiprocess

0.70.12.2

murmurhash

1.0.9

mypy-extensions

0.4.3

nbclient

0.5.13

nbconvert

6.4.4

nbformat

5.5.0

nest-asyncio

1.5.5

networkx

2.8.4

nltk

3.7

nodeenv

1.7.0

notebook

6.4.12

numba

0.55.1

numexpr

2.8.4

numpy

1.21.5

oauthlib

3.2.0

openai

0.27.4

openapi-schema-pydantic

1.2.4

opt-einsum

3.3.0

packaging

21.3

pandas

1.4.4

pandocfilters

1.5.0

paramiko

2.9.2

parso

0.8.3

pathspec

0.9.0

pathy

0.10.1

patsy

0.5.2

petastorm

0.12.1

pexpect

4.8.0

phik

0.12.3

pickleshare

0.7.5

Pillow

9.2.0

pip

22.2.2

platformdirs

2.5.2

plotly

5.9.0

pluggy

1.0.0

pmdarima

2.0.3

pooch

1.7.0

preshed

3.0.8

prometheus-client

0.14.1

prompt-toolkit

3.0.36

prophet

1.1.2

protobuf

3.19.4

psutil

5.9.0

psycopg2

2.9.3

ptyprocess

0.7.0

pure-eval

0.2.2

pyarrow

8.0.0

pyasn1

0.4.8

pyasn1-modules

0.2.8

pybind11

2.10.4

pycparser

2.21

pydantic

1.10.6

pyflakes

3.0.1

Pygments

2.11.2

PyGObject

3.42.1

PyJWT

2.3.0

PyMeeus

0.5.12

PyNaCl

1.5.0

pyodbc

4.0.32

pyparsing

3.0.9

pyright

1.1.294

pyrsistent

0.18.0

pytesseract

0.3.10

python-dateutil

2.8.2

python-editor

1.0.4

python-lsp-jsonrpc

1.0.0

python-lsp-server

1.7.1

pytoolconfig

1.2.2

pytz

2022.1

PyWavelets

1.3.0

PyYAML

6.0

pyzmq

23.2.0

regex

2022.7.9

requests

2.28.1

requests-oauthlib

1.3.1

responses

0.18.0

rope

1.7.0

rsa

4.9

s3transfer

0.6.0

scikit-learn

1.1.1

scipy

1.9.1

seaborn

0.11.2

SecretStorage

3.3.1

Send2Trash

1.8.0

sentence-transformers

2.2.2

sentencepiece

0.1.97

setuptools

63.4.1

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

soundfile

0.12.1

soupsieve

2.3.1

soxr

0.3.5

spacy

3.5.1

spacy-legacy

3.0.12

spacy-loggers

1.0.4

spark-tensorflow-distributor

1.0.0

SQLAlchemy

1.4.39

sqlparse

0.4.2

srsly

2.4.6

ssh-import-id

5.11

stack-data

0.6.2

statsmodels

0.13.2

tabulate

0.8.10

tangled-up-in-unicode

0.2.0

tenacity

8.1.0

tensorboard

2.11.0

tensorboard-data-server

0.6.1

tensorboard-plugin-profile

2.11.2

tensorboard-plugin-wit

1.8.1

tensorflow-cpu

2.11.0

tensorflow-estimator

2.11.0

tensorflow-io-gcs-filesystem

0.32.0

termcolor

2.3.0

terminado

0.13.1

testpath

0.6.0

thinc

8.1.9

threadpoolctl

2.2.0

tiktoken

0.3.3

tokenize-rt

4.2.1

tokenizers

0.13.3

tomli

2.0.1

torch

1.13.1+cpu

torchvision

0.14.1+cpu

tornado

6.1

tqdm

4.64.1

traitlets

5.1.1

transformers

4.28.1

typeguard

2.13.3

typer

0.7.0

typing-inspect

0.8.0

typing_extensions

4.3.0

ujson

5.4.0

unattended-upgrades

0.1

urllib3

1.26.11

virtualenv

20.16.3

visions

0.7.5

wadllib

1.3.6

wasabi

1.1.1

wcwidth

0.2.5

webencodings

0.5.1

websocket-client

0.58.0

Werkzeug

2.0.3

whatthepatch

1.0.2

wheel

0.37.1

widgetsnbextension

3.6.1

wrapt

1.14.1

xgboost

1.7.5

xxhash

3.2.0

yapf

0.31.0

yarl

1.9.2

ydata-profiling

4.1.2

zipp

3.8.0

Python libraries on GPU clusters

Library

Version

Library

Version

Library

Version

absl-py

1.0.0

accelerate

0.18.0

aiohttp

3.8.4

aiosignal

1.3.1

appdirs

1.4.4

argon2-cffi

21.3.0

argon2-cffi-bindings

21.2.0

astor

0.8.1

asttokens

2.2.1

astunparse

1.6.3

async-timeout

4.0.2

attrs

21.4.0

audioread

3.0.0

azure-core

1.26.4

azure-cosmos

4.3.1b1

azure-storage-blob

12.16.0

azure-storage-file-datalake

12.11.0

backcall

0.2.0

bcrypt

3.2.0

beautifulsoup4

4.11.1

black

22.6.0

bleach

4.1.0

blinker

1.4

blis

0.7.9

boto3

1.24.28

botocore

1.27.28

cachetools

4.2.4

catalogue

2.0.8

category-encoders

2.6.0

certifi

2022.9.14

cffi

1.15.1

chardet

4.0.0

charset-normalizer

2.0.4

click

8.0.4

cloudpickle

2.0.0

cmdstanpy

1.1.0

confection

0.0.4

configparser

5.2.0

convertdate

2.4.0

cryptography

37.0.1

cycler

0.11.0

cymem

2.0.7

Cython

0.29.32

databricks-automl-runtime

0.2.16

databricks-cli

0.17.6

databricks-feature-store

0.12.0

dataclasses-json

0.5.7

datasets

2.12.0

dbl-tempo

0.1.23

dbus-python

1.2.18

debugpy

1.5.1

decorator

5.1.1

defusedxml

0.7.1

dill

0.3.4

diskcache

5.6.1

distlib

0.3.6

docstring-to-markdown

0.12

entrypoints

0.4

ephem

4.1.4

evaluate

0.4.0

executing

1.2.0

facets-overview

1.0.3

fastjsonschema

2.16.3

fasttext

0.9.2

filelock

3.6.0

Flask

1.1.2

flatbuffers

23.3.3

fonttools

4.25.0

frozenlist

1.3.3

fsspec

2022.7.1

future

0.18.2

gast

0.4.0

gitdb

4.0.10

GitPython

3.1.27

google-api-core

2.8.2

google-auth

1.33.0

google-auth-oauthlib

0.4.6

google-cloud-core

2.3.2

google-cloud-storage

2.8.0

google-crc32c

1.5.0

google-pasta

0.2.0

google-resumable-media

2.5.0

googleapis-common-protos

1.56.4

greenlet

1.1.1

grpcio

1.48.1

grpcio-status

1.48.1

gunicorn

20.1.0

gviz-api

1.10.0

h5py

3.7.0

hijri-converter

2.3.1

holidays

0.22

horovod

0.27.0

htmlmin

0.1.12

httplib2

0.20.2

huggingface-hub

0.14.1

idna

3.3

ImageHash

4.3.1

imbalanced-learn

0.8.1

importlib-metadata

4.11.3

ipykernel

6.17.1

ipython

8.10.0

ipython-genutils

0.2.0

ipywidgets

7.7.2

isodate

0.6.1

itsdangerous

2.0.1

jedi

0.18.1

jeepney

0.7.1

Jinja2

2.11.3

jmespath

0.10.0

joblib

1.2.0

joblibspark

0.5.1

jsonschema

4.16.0

jupyter-client

7.3.4

jupyter_core

4.11.2

jupyterlab-pygments

0.1.2

jupyterlab-widgets

1.0.0

keras

2.11.0

keyring

23.5.0

kiwisolver

1.4.2

korean-lunar-calendar

0.3.1

langchain

0.0.152

langcodes

3.3.0

launchpadlib

1.10.16

lazr.restfulclient

0.14.4

lazr.uri

1.0.6

lazy_loader

0.2

libclang

15.0.6.1

librosa

0.10.0

lightgbm

3.3.5

llvmlite

0.38.0

LunarCalendar

0.0.9

Mako

1.2.0

Markdown

3.3.4

MarkupSafe

2.0.1

marshmallow

3.19.0

marshmallow-enum

1.5.1

matplotlib

3.5.2

matplotlib-inline

0.1.6

mccabe

0.7.0

mistune

0.8.4

mleap

0.20.0

mlflow-skinny

2.3.1

more-itertools

8.10.0

msgpack

1.0.5

multidict

6.0.4

multimethod

1.9.1

multiprocess

0.70.12.2

murmurhash

1.0.9

mypy-extensions

0.4.3

nbclient

0.5.13

nbconvert

6.4.4

nbformat

5.5.0

nest-asyncio

1.5.5

networkx

2.8.4

nltk

3.7

nodeenv

1.7.0

notebook

6.4.12

numba

0.55.1

numexpr

2.8.4

numpy

1.21.5

oauthlib

3.2.0

openai

0.27.4

openapi-schema-pydantic

1.2.4

opt-einsum

3.3.0

packaging

21.3

pandas

1.4.4

pandocfilters

1.5.0

paramiko

2.9.2

parso

0.8.3

pathspec

0.9.0

pathy

0.10.1

patsy

0.5.2

petastorm

0.12.1

pexpect

4.8.0

phik

0.12.3

pickleshare

0.7.5

Pillow

9.2.0

pip

22.2.2

platformdirs

2.5.2

plotly

5.9.0

pluggy

1.0.0

pmdarima

2.0.3

pooch

1.7.0

preshed

3.0.8

prompt-toolkit

3.0.36

prophet

1.1.2

protobuf

3.19.4

psutil

5.9.0

psycopg2

2.9.3

ptyprocess

0.7.0

pure-eval

0.2.2

pyarrow

8.0.0

pyasn1

0.4.8

pyasn1-modules

0.2.8

pybind11

2.10.4

pycparser

2.21

pydantic

1.10.6

pyflakes

3.0.1

Pygments

2.11.2

PyGObject

3.42.1

PyJWT

2.3.0

PyMeeus

0.5.12

PyNaCl

1.5.0

pyodbc

4.0.32

pyparsing

3.0.9

pyright

1.1.294

pyrsistent

0.18.0

pytesseract

0.3.10

python-dateutil

2.8.2

python-editor

1.0.4

python-lsp-jsonrpc

1.0.0

python-lsp-server

1.7.1

pytoolconfig

1.2.2

pytz

2022.1

PyWavelets

1.3.0

PyYAML

6.0

pyzmq

23.2.0

regex

2022.7.9

requests

2.28.1

requests-oauthlib

1.3.1

responses

0.18.0

rope

1.7.0

rsa

4.9

s3transfer

0.6.0

scikit-learn

1.1.1

scipy

1.9.1

seaborn

0.11.2

SecretStorage

3.3.1

Send2Trash

1.8.0

sentence-transformers

2.2.2

sentencepiece

0.1.97

setuptools

63.4.1

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

soundfile

0.12.1

soupsieve

2.3.1

soxr

0.3.5

spacy

3.5.1

spacy-legacy

3.0.12

spacy-loggers

1.0.4

spark-tensorflow-distributor

1.0.0

sqlparse

0.4.2

srsly

2.4.6

ssh-import-id

5.11

stack-data

0.6.2

statsmodels

0.13.2

tabulate

0.8.10

tangled-up-in-unicode

0.2.0

tenacity

8.1.0

tensorboard

2.11.0

tensorboard-data-server

0.6.1

tensorboard-plugin-profile

2.11.2

tensorboard-plugin-wit

1.8.1

tensorflow

2.11.0

tensorflow-estimator

2.11.0

tensorflow-io-gcs-filesystem

0.32.0

termcolor

2.3.0

terminado

0.13.1

testpath

0.6.0

thinc

8.1.9

threadpoolctl

2.2.0

tiktoken

0.3.3

tokenize-rt

4.2.1

tokenizers

0.13.3

tomli

2.0.1

torch

1.13.1+cu117

torchvision

0.14.1+cu117

tornado

6.1

tqdm

4.64.1

traitlets

5.1.1

transformers

4.28.1

typeguard

2.13.3

typer

0.7.0

typing-inspect

0.8.0

typing_extensions

4.3.0

ujson

5.4.0

unattended-upgrades

0.1

urllib3

1.26.11

virtualenv

20.16.3

visions

0.7.5

wadllib

1.3.6

wasabi

1.1.1

wcwidth

0.2.5

webencodings

0.5.1

websocket-client

0.58.0

Werkzeug

2.0.3

whatthepatch

1.0.2

wheel

0.37.1

widgetsnbextension

3.6.1

wrapt

1.14.1

xgboost

1.7.5

xxhash

3.2.0

yapf

0.31.0

yarl

1.9.2

ydata-profiling

4.1.2

zipp

3.8.0

R libraries

The R libraries are identical to the R Libraries in Databricks Runtime 13.1.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 13.1, Databricks Runtime 13.1 ML contains the following JARs:

CPU clusters

Group ID

Artifact ID

Version

com.typesafe.akka

akka-actor_2.12

2.5.23

ml.dmlc

xgboost4j-spark_2.12

1.7.3

ml.dmlc

xgboost4j_2.12

1.7.3

org.graphframes

graphframes_2.12

0.8.2-db2-spark3.4

org.mlflow

mlflow-client

2.3.1

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.dmlc

xgboost4j-gpu_2.12

1.7.3

ml.dmlc

xgboost4j-spark-gpu_2.12

1.7.3

org.graphframes

graphframes_2.12

0.8.2-db2-spark3.4

org.mlflow

mlflow-client

2.3.1

org.scala-lang.modules

scala-java8-compat_2.12

0.8.0

org.tensorflow

spark-tensorflow-connector_2.12

1.15.0