Amazon
Web Services
Microsoft Azure
Google Cloud PlatformDatabricks Runtime 14.3 LTS for Machine Learning
Databricks Runtime 14.3 LTS for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 14.3 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.
Note
LTS means this version is under long-term support. See Databricks Runtime LTS version lifecycle.
Tip
To see release notes for Databricks Runtime versions that have reached end-of-support (EoS), see End-of-support Databricks Runtime release notes. The EoS Databricks Runtime versions have been retired and might not be updated.
New features and improvements
Databricks Runtime 14.3 LTS ML is built on top of Databricks Runtime 14.3 LTS. For information on what’s new in Databricks Runtime 14.3 LTS, including Apache Spark MLlib and SparkR, see the Databricks Runtime 14.3 LTS release notes.
System environment
The system environment in Databricks Runtime 14.3 LTS ML differs from Databricks Runtime 14.3 LTS as follows:
For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
CUDA 11.8
cuDNN 8.9.0.131-1
NCCL 2.15.5
TensorRT 8.5.3-1
Databricks Runtime 14.3 LTS ML includes XGBoost 1.7.6, which does not support GPU clusters with compute capability 5.2 and below.
Libraries
The following sections list the libraries included in Databricks Runtime 14.3 LTS ML that differ from those included in Databricks Runtime 14.3 LTS.
In this section:
Top-tier libraries
Databricks Runtime 14.3 LTS ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 14.3 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 14.3 LTS ML also includes the following packages:
hyperopt 0.2.7+db4
sparkdl 3.0.0_db1
automl 1.24.0
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-14.3.txt file and run pip install -r requirements-14.3.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 |
accelerate |
0.25.0 |
aiohttp |
3.9.1 |
aiosignal |
1.3.1 |
anyio |
3.5.0 |
appdirs |
1.4.4 |
argon2-cffi |
21.3.0 |
argon2-cffi-bindings |
21.2.0 |
astor |
0.8.1 |
asttokens |
2.0.5 |
astunparse |
1.6.3 |
async-timeout |
4.0.3 |
attrs |
22.1.0 |
audioread |
3.0.1 |
azure-core |
1.29.1 |
azure-cosmos |
4.3.1 |
azure-storage-blob |
12.19.0 |
azure-storage-file-datalake |
12.14.0 |
backcall |
0.2.0 |
bcrypt |
3.2.0 |
beautifulsoup4 |
4.11.1 |
black |
22.6.0 |
bleach |
4.1.0 |
blinker |
1.4 |
blis |
0.7.11 |
boto3 |
1.24.28 |
botocore |
1.27.96 |
cachetools |
5.3.2 |
catalogue |
2.0.10 |
category-encoders |
2.6.3 |
certifi |
2022.12.7 |
cffi |
1.15.1 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
click |
8.0.4 |
cloudpathlib |
0.16.0 |
cloudpickle |
2.0.0 |
cmdstanpy |
1.2.0 |
comm |
0.1.2 |
confection |
0.1.4 |
configparser |
5.2.0 |
contourpy |
1.0.5 |
cryptography |
39.0.1 |
cycler |
0.11.0 |
cymem |
2.0.8 |
Cython |
0.29.32 |
dacite |
1.8.1 |
databricks-automl-runtime |
0.2.20 |
databricks-cli |
0.18.0 |
databricks-feature-engineering |
0.2.0 |
databricks-sdk |
0.1.6 |
dataclasses-json |
0.6.3 |
datasets |
2.15.0 |
dbl-tempo |
0.1.26 |
dbus-python |
1.2.18 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.12.4 |
defusedxml |
0.7.1 |
dill |
0.3.6 |
diskcache |
5.6.3 |
distlib |
0.3.7 |
docstring-to-markdown |
0.11 |
entrypoints |
0.4 |
evaluate |
0.4.1 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
fastjsonschema |
2.19.1 |
fasttext |
0.9.2 |
filelock |
3.9.0 |
Flask |
2.2.5 |
flatbuffers |
23.5.26 |
fonttools |
4.25.0 |
frozenlist |
1.4.1 |
fsspec |
2023.6.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.27 |
google-api-core |
2.15.0 |
google-auth |
2.21.0 |
google-auth-oauthlib |
1.0.0 |
google-cloud-core |
2.4.1 |
google-cloud-storage |
2.11.0 |
google-crc32c |
1.5.0 |
google-pasta |
0.2.0 |
google-resumable-media |
2.7.0 |
googleapis-common-protos |
1.62.0 |
greenlet |
2.0.1 |
grpcio |
1.48.2 |
grpcio-status |
1.48.1 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
h5py |
3.7.0 |
hjson |
3.1.0 |
holidays |
0.38 |
horovod |
0.28.1 |
htmlmin |
0.1.12 |
httplib2 |
0.20.2 |
huggingface-hub |
0.19.4 |
idna |
3.4 |
ImageHash |
4.3.1 |
imbalanced-learn |
0.11.0 |
importlib-metadata |
4.11.3 |
importlib-resources |
6.1.1 |
ipykernel |
6.25.0 |
ipython |
8.14.0 |
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 |
3.1.2 |
jmespath |
0.10.0 |
joblib |
1.2.0 |
joblibspark |
0.5.1 |
jsonpatch |
1.33 |
jsonpointer |
2.4 |
jsonschema |
4.17.3 |
jupyter-client |
7.3.4 |
jupyter-server |
1.23.4 |
jupyter_core |
5.2.0 |
jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 |
keras |
2.14.0 |
keyring |
23.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.0.348 |
langchain-core |
0.0.13 |
langcodes |
3.3.0 |
langsmith |
0.0.79 |
launchpadlib |
1.10.16 |
lazr.restfulclient |
0.14.4 |
lazr.uri |
1.0.6 |
lazy_loader |
0.3 |
libclang |
15.0.6.1 |
librosa |
0.10.1 |
lightgbm |
4.1.0 |
llvmlite |
0.39.1 |
lxml |
4.9.1 |
Mako |
1.2.0 |
Markdown |
3.4.1 |
MarkupSafe |
2.1.1 |
marshmallow |
3.20.2 |
matplotlib |
3.7.0 |
matplotlib-inline |
0.1.6 |
mccabe |
0.7.0 |
mistune |
0.8.4 |
ml-dtypes |
0.2.0 |
mlflow-skinny |
2.9.2 |
more-itertools |
8.10.0 |
mpmath |
1.2.1 |
msgpack |
1.0.7 |
multidict |
6.0.4 |
multimethod |
1.10 |
multiprocess |
0.70.14 |
murmurhash |
1.0.10 |
mypy-extensions |
0.4.3 |
nbclassic |
0.5.2 |
nbclient |
0.5.13 |
nbconvert |
6.5.4 |
nbformat |
5.7.0 |
nest-asyncio |
1.5.6 |
networkx |
2.8.4 |
ninja |
1.11.1.1 |
nltk |
3.7 |
nodeenv |
1.8.0 |
notebook |
6.5.2 |
notebook_shim |
0.2.2 |
numba |
0.56.4 |
numpy |
1.23.5 |
oauthlib |
3.2.0 |
openai |
0.28.1 |
opt-einsum |
3.3.0 |
packaging |
23.2 |
pandas |
1.5.3 |
pandocfilters |
1.5.0 |
paramiko |
2.9.2 |
parso |
0.8.3 |
pathspec |
0.10.3 |
patsy |
0.5.3 |
petastorm |
0.12.1 |
pexpect |
4.8.0 |
phik |
0.12.4 |
pickleshare |
0.7.5 |
Pillow |
9.4.0 |
pip |
22.3.1 |
platformdirs |
2.5.2 |
plotly |
5.9.0 |
pluggy |
1.0.0 |
pmdarima |
2.0.4 |
pooch |
1.4.0 |
preshed |
3.0.9 |
prometheus-client |
0.14.1 |
prompt-toolkit |
3.0.36 |
prophet |
1.1.5 |
protobuf |
4.24.0 |
psutil |
5.9.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pure-eval |
0.2.2 |
py-cpuinfo |
9.0.0 |
pyarrow |
8.0.0 |
pyarrow-hotfix |
0.5 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.11.1 |
pycparser |
2.21 |
pydantic |
1.10.6 |
pyflakes |
3.1.0 |
Pygments |
2.11.2 |
PyGObject |
3.42.1 |
PyJWT |
2.3.0 |
PyNaCl |
1.5.0 |
pynvml |
11.5.0 |
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 |
1.1.1 |
python-lsp-server |
1.8.0 |
pytoolconfig |
1.2.5 |
pytz |
2022.7 |
PyWavelets |
1.4.1 |
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 |
0.6.2 |
safetensors |
0.4.1 |
scikit-learn |
1.1.1 |
scipy |
1.10.0 |
seaborn |
0.12.2 |
SecretStorage |
3.3.1 |
Send2Trash |
1.8.0 |
sentence-transformers |
2.2.2 |
sentencepiece |
0.1.99 |
setuptools |
65.6.3 |
shap |
0.44.0 |
simplejson |
3.17.6 |
six |
1.16.0 |
slicer |
0.0.7 |
smart-open |
5.2.1 |
smmap |
5.0.0 |
sniffio |
1.2.0 |
soundfile |
0.12.1 |
soupsieve |
2.3.2.post1 |
soxr |
0.3.7 |
spacy |
3.7.2 |
spacy-legacy |
3.0.12 |
spacy-loggers |
1.0.5 |
spark-tensorflow-distributor |
1.0.0 |
SQLAlchemy |
1.4.39 |
sqlparse |
0.4.2 |
srsly |
2.4.8 |
ssh-import-id |
5.11 |
stack-data |
0.2.0 |
stanio |
0.3.0 |
statsmodels |
0.13.5 |
sympy |
1.11.1 |
tabulate |
0.8.10 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.1.0 |
tensorboard |
2.14.1 |
tensorboard-data-server |
0.7.2 |
tensorboard-plugin-profile |
2.14.0 |
tensorflow-cpu |
2.14.1 |
tensorflow-estimator |
2.14.0 |
tensorflow-io-gcs-filesystem |
0.35.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
thinc |
8.2.2 |
threadpoolctl |
2.2.0 |
tiktoken |
0.5.2 |
tinycss2 |
1.2.1 |
tokenize-rt |
4.2.1 |
tokenizers |
0.15.0 |
tomli |
2.0.1 |
torch |
2.0.1+cpu |
torchvision |
0.15.2+cpu |
tornado |
6.1 |
tqdm |
4.64.1 |
traitlets |
5.7.1 |
transformers |
4.36.1 |
typeguard |
2.13.3 |
typer |
0.9.0 |
typing-inspect |
0.9.0 |
typing_extensions |
4.4.0 |
ujson |
5.4.0 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.14 |
virtualenv |
20.16.7 |
visions |
0.7.5 |
wadllib |
1.3.6 |
wasabi |
1.1.2 |
wcwidth |
0.2.5 |
weasel |
0.3.4 |
webencodings |
0.5.1 |
websocket-client |
0.58.0 |
Werkzeug |
2.2.2 |
whatthepatch |
1.0.2 |
wheel |
0.38.4 |
widgetsnbextension |
3.6.1 |
wordcloud |
1.9.3 |
wrapt |
1.14.1 |
xgboost |
1.7.6 |
xxhash |
3.4.1 |
yapf |
0.33.0 |
yarl |
1.9.4 |
ydata-profiling |
4.2.0 |
zipp |
3.11.0 |
Python libraries on GPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
accelerate |
0.25.0 |
aiohttp |
3.9.1 |
aiosignal |
1.3.1 |
anyio |
3.5.0 |
appdirs |
1.4.4 |
argon2-cffi |
21.3.0 |
argon2-cffi-bindings |
21.2.0 |
astor |
0.8.1 |
asttokens |
2.0.5 |
astunparse |
1.6.3 |
async-timeout |
4.0.3 |
attrs |
22.1.0 |
audioread |
3.0.1 |
azure-core |
1.29.1 |
azure-cosmos |
4.3.1 |
azure-storage-blob |
12.19.0 |
azure-storage-file-datalake |
12.14.0 |
backcall |
0.2.0 |
bcrypt |
3.2.0 |
beautifulsoup4 |
4.11.1 |
black |
22.6.0 |
bleach |
4.1.0 |
blinker |
1.4 |
blis |
0.7.11 |
boto3 |
1.24.28 |
botocore |
1.27.96 |
cachetools |
5.3.2 |
catalogue |
2.0.10 |
category-encoders |
2.6.3 |
certifi |
2022.12.7 |
cffi |
1.15.1 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
click |
8.0.4 |
cloudpathlib |
0.16.0 |
cloudpickle |
2.0.0 |
cmake |
3.28.1 |
cmdstanpy |
1.2.0 |
comm |
0.1.2 |
confection |
0.1.4 |
configparser |
5.2.0 |
contourpy |
1.0.5 |
cryptography |
39.0.1 |
cycler |
0.11.0 |
cymem |
2.0.8 |
Cython |
0.29.32 |
dacite |
1.8.1 |
databricks-automl-runtime |
0.2.20 |
databricks-cli |
0.18.0 |
databricks-feature-engineering |
0.2.0 |
databricks-sdk |
0.1.6 |
dataclasses-json |
0.6.3 |
datasets |
2.15.0 |
dbl-tempo |
0.1.26 |
dbus-python |
1.2.18 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.12.4 |
defusedxml |
0.7.1 |
dill |
0.3.6 |
diskcache |
5.6.3 |
distlib |
0.3.7 |
docstring-to-markdown |
0.11 |
einops |
0.7.0 |
entrypoints |
0.4 |
evaluate |
0.4.1 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
fastjsonschema |
2.19.1 |
fasttext |
0.9.2 |
filelock |
3.9.0 |
flash-attn |
2.3.6 |
Flask |
2.2.5 |
flatbuffers |
23.5.26 |
fonttools |
4.25.0 |
frozenlist |
1.4.1 |
fsspec |
2023.6.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.27 |
google-api-core |
2.15.0 |
google-auth |
2.21.0 |
google-auth-oauthlib |
1.0.0 |
google-cloud-core |
2.4.1 |
google-cloud-storage |
2.11.0 |
google-crc32c |
1.5.0 |
google-pasta |
0.2.0 |
google-resumable-media |
2.7.0 |
googleapis-common-protos |
1.62.0 |
greenlet |
2.0.1 |
grpcio |
1.48.2 |
grpcio-status |
1.48.1 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
h5py |
3.7.0 |
hjson |
3.1.0 |
holidays |
0.38 |
horovod |
0.28.1 |
htmlmin |
0.1.12 |
httplib2 |
0.20.2 |
huggingface-hub |
0.19.4 |
idna |
3.4 |
ImageHash |
4.3.1 |
imbalanced-learn |
0.11.0 |
importlib-metadata |
4.11.3 |
importlib-resources |
6.1.1 |
ipykernel |
6.25.0 |
ipython |
8.14.0 |
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 |
3.1.2 |
jmespath |
0.10.0 |
joblib |
1.2.0 |
joblibspark |
0.5.1 |
jsonpatch |
1.33 |
jsonpointer |
2.4 |
jsonschema |
4.17.3 |
jupyter-client |
7.3.4 |
jupyter-server |
1.23.4 |
jupyter_core |
5.2.0 |
jupyterlab-pygments |
0.1.2 |
jupyterlab-widgets |
1.0.0 |
keras |
2.14.0 |
keyring |
23.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.0.348 |
langchain-core |
0.0.13 |
langcodes |
3.3.0 |
langsmith |
0.0.79 |
launchpadlib |
1.10.16 |
lazr.restfulclient |
0.14.4 |
lazr.uri |
1.0.6 |
lazy_loader |
0.3 |
libclang |
15.0.6.1 |
librosa |
0.10.1 |
lightgbm |
4.1.0 |
lit |
17.0.6 |
llvmlite |
0.39.1 |
lxml |
4.9.1 |
Mako |
1.2.0 |
Markdown |
3.4.1 |
MarkupSafe |
2.1.1 |
marshmallow |
3.20.2 |
matplotlib |
3.7.0 |
matplotlib-inline |
0.1.6 |
mccabe |
0.7.0 |
mistune |
0.8.4 |
ml-dtypes |
0.2.0 |
mlflow-skinny |
2.9.2 |
more-itertools |
8.10.0 |
mpmath |
1.2.1 |
msgpack |
1.0.7 |
multidict |
6.0.4 |
multimethod |
1.10 |
multiprocess |
0.70.14 |
murmurhash |
1.0.10 |
mypy-extensions |
0.4.3 |
nbclassic |
0.5.2 |
nbclient |
0.5.13 |
nbconvert |
6.5.4 |
nbformat |
5.7.0 |
nest-asyncio |
1.5.6 |
networkx |
2.8.4 |
ninja |
1.11.1.1 |
nltk |
3.7 |
nodeenv |
1.8.0 |
notebook |
6.5.2 |
notebook_shim |
0.2.2 |
numba |
0.56.4 |
numpy |
1.23.5 |
oauthlib |
3.2.0 |
openai |
0.28.1 |
opt-einsum |
3.3.0 |
packaging |
23.2 |
pandas |
1.5.3 |
pandocfilters |
1.5.0 |
paramiko |
2.9.2 |
parso |
0.8.3 |
pathspec |
0.10.3 |
patsy |
0.5.3 |
petastorm |
0.12.1 |
pexpect |
4.8.0 |
phik |
0.12.4 |
pickleshare |
0.7.5 |
Pillow |
9.4.0 |
pip |
22.3.1 |
platformdirs |
2.5.2 |
plotly |
5.9.0 |
pluggy |
1.0.0 |
pmdarima |
2.0.4 |
pooch |
1.4.0 |
preshed |
3.0.9 |
prompt-toolkit |
3.0.36 |
prophet |
1.1.5 |
protobuf |
4.24.0 |
psutil |
5.9.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pure-eval |
0.2.2 |
py-cpuinfo |
9.0.0 |
pyarrow |
8.0.0 |
pyarrow-hotfix |
0.5 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.11.1 |
pycparser |
2.21 |
pydantic |
1.10.6 |
pyflakes |
3.1.0 |
Pygments |
2.11.2 |
PyGObject |
3.42.1 |
PyJWT |
2.3.0 |
PyNaCl |
1.5.0 |
pynvml |
11.5.0 |
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 |
1.1.1 |
python-lsp-server |
1.8.0 |
pytoolconfig |
1.2.5 |
pytz |
2022.7 |
PyWavelets |
1.4.1 |
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 |
0.6.2 |
safetensors |
0.4.1 |
scikit-learn |
1.1.1 |
scipy |
1.10.0 |
seaborn |
0.12.2 |
SecretStorage |
3.3.1 |
Send2Trash |
1.8.0 |
sentence-transformers |
2.2.2 |
sentencepiece |
0.1.99 |
setuptools |
65.6.3 |
shap |
0.44.0 |
simplejson |
3.17.6 |
six |
1.16.0 |
slicer |
0.0.7 |
smart-open |
5.2.1 |
smmap |
5.0.0 |
sniffio |
1.2.0 |
soundfile |
0.12.1 |
soupsieve |
2.3.2.post1 |
soxr |
0.3.7 |
spacy |
3.7.2 |
spacy-legacy |
3.0.12 |
spacy-loggers |
1.0.5 |
spark-tensorflow-distributor |
1.0.0 |
SQLAlchemy |
1.4.39 |
sqlparse |
0.4.2 |
srsly |
2.4.8 |
ssh-import-id |
5.11 |
stack-data |
0.2.0 |
stanio |
0.3.0 |
statsmodels |
0.13.5 |
sympy |
1.11.1 |
tabulate |
0.8.10 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.1.0 |
tensorboard |
2.14.1 |
tensorboard-data-server |
0.7.2 |
tensorboard-plugin-profile |
2.14.0 |
tensorflow |
2.14.1 |
tensorflow-estimator |
2.14.0 |
tensorflow-io-gcs-filesystem |
0.35.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
thinc |
8.2.2 |
threadpoolctl |
2.2.0 |
tiktoken |
0.5.2 |
tinycss2 |
1.2.1 |
tokenize-rt |
4.2.1 |
tokenizers |
0.15.0 |
tomli |
2.0.1 |
torch |
2.0.1+cu118 |
torchvision |
0.15.2+cu118 |
tornado |
6.1 |
tqdm |
4.64.1 |
traitlets |
5.7.1 |
transformers |
4.36.1 |
triton |
2.0.0 |
typeguard |
2.13.3 |
typer |
0.9.0 |
typing-inspect |
0.9.0 |
typing_extensions |
4.4.0 |
ujson |
5.4.0 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.14 |
virtualenv |
20.16.7 |
visions |
0.7.5 |
wadllib |
1.3.6 |
wasabi |
1.1.2 |
wcwidth |
0.2.5 |
weasel |
0.3.4 |
webencodings |
0.5.1 |
websocket-client |
0.58.0 |
Werkzeug |
2.2.2 |
whatthepatch |
1.0.2 |
wheel |
0.38.4 |
widgetsnbextension |
3.6.1 |
wordcloud |
1.9.3 |
wrapt |
1.14.1 |
xgboost |
1.7.6 |
xxhash |
3.4.1 |
yapf |
0.33.0 |
yarl |
1.9.4 |
ydata-profiling |
4.2.0 |
zipp |
3.11.0 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 14.3 LTS.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 14.3 LTS, Databricks Runtime 14.3 LTS ML contains the following JARs:
CPU clusters
Group ID |
Artifact ID |
Version |
|---|---|---|
com.typesafe.akka |
akka-actor_2.12 |
2.5.23 |
ml.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 |
2.9.2 |
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 |
2.9.2 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |