Amazon
Web Services
Microsoft Azure
Google Cloud PlatformDatabricks Runtime 13.1 for Machine Learning (unsupported)
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 (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 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 (unsupported) 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:
DBUtils: Databricks Runtime ML does not include Library utility (dbutils.library) (legacy). Use
%pipcommands instead. See Notebook-scoped Python libraries.For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
CUDA 11.7
cuDNN 8.5.0.96-1
NCCL 2.15.1
TensorRT 7.2.2
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.
In this section:
Top-tier libraries
Databricks Runtime 13.1 ML includes the following top-tier libraries:
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 |
