Google
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Amazon Web Services
Microsoft AzureDatabricks Runtime 15.3 for Machine Learning
Databricks Runtime 15.3 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 15.3. 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
These release notes may include references to features that are not available on Google Cloud as of this release.
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 15.3 ML is built on top of Databricks Runtime 15.3. For information on what’s new in Databricks Runtime 15.3, including Apache Spark MLlib and SparkR, see the Databricks Runtime 15.3 release notes.
Mosaic AutoML manual data splits and sample weights
AutoML now supports manual data splits allowing you to specify row-by-row train, validate, and test datasets for classification and regression models. See Split data into train, validation, and test sets.
AutoML now supports sample weights, letting you adjust the importance of each row during regression model training. For more information, see the regression parameters for the AutoML Python API.
System environment
The system environment in Databricks Runtime 15.3 ML differs from Databricks Runtime 15.3 as follows:
For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
CUDA 12.1
cusolver 11.4.5.107-1
cupti 12.1
cuDNN 8.9.0.131-1
NCCL 2.17.1
TensorRT 8.6.1.6-1
Libraries
The following sections list the libraries included in Databricks Runtime 15.3 ML that differ from those included in Databricks Runtime 15.3.
In this section:
Top-tier libraries
Databricks Runtime 15.3 ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 15.3 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 15.3 ML also includes the following packages:
hyperopt 0.2.7+db3
sparkdl 3.0.0_db1
automl 1.27.0
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-15.3.txt file and run pip install -r requirements-15.3.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-engineering, or the Databricks fork of hyperopt.
Python libraries on CPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
accelerate |
0.30.1 |
aiohttp |
3.8.5 |
aiohttp-cors |
0.7.0 |
aiosignal |
1.2.0 |
anyio |
3.5.0 |
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 |
4.0.2 |
attrs |
22.1.0 |
audioread |
3.0.1 |
azure-core |
1.30.1 |
azure-cosmos |
4.3.1 |
azure-identity |
1.16.0 |
azure-storage-blob |
12.19.1 |
azure-storage-file-datalake |
12.14.0 |
backcall |
0.2.0 |
bcrypt |
3.2.0 |
beautifulsoup4 |
4.12.2 |
black |
23.3.0 |
bleach |
4.1.0 |
blinker |
1.4 |
blis |
0.7.11 |
boto3 |
1.34.39 |
botocore |
1.34.39 |
Brotli |
1.0.9 |
cachetools |
5.3.3 |
catalogue |
2.0.10 |
category-encoders |
2.6.3 |
certifi |
2023.7.22 |
cffi |
1.15.1 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
circuitbreaker |
1.4.0 |
click |
8.0.4 |
cloudpathlib |
0.16.0 |
cloudpickle |
2.2.1 |
cmdstanpy |
1.2.2 |
colorful |
0.5.6 |
comm |
0.1.2 |
confection |
0.1.4 |
configparser |
5.2.0 |
contourpy |
1.0.5 |
cryptography |
41.0.3 |
cycler |
0.11.0 |
cymem |
2.0.8 |
Cython |
0.29.32 |
dacite |
1.8.1 |
databricks-automl-runtime |
0.2.21 |
databricks-feature-engineering |
0.5.0 |
databricks-sdk |
0.20.0 |
dataclasses-json |
0.6.6 |
datasets |
2.19.1 |
dbl-tempo |
0.1.26 |
dbus-python |
1.2.18 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.14.0 |
defusedxml |
0.7.1 |
dill |
0.3.6 |
diskcache |
5.6.3 |
distlib |
0.3.8 |
dm-tree |
0.1.8 |
entrypoints |
0.4 |
evaluate |
0.4.2 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 |
fastjsonschema |
2.19.1 |
fasttext |
0.9.2 |
filelock |
3.13.4 |
Flask |
2.2.5 |
flatbuffers |
24.3.25 |
fonttools |
4.25.0 |
frozenlist |
1.3.3 |
fsspec |
2023.5.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.27 |
google-api-core |
2.18.0 |
google-auth |
2.21.0 |
google-auth-oauthlib |
1.0.0 |
google-cloud-core |
2.4.1 |
google-cloud-storage |
2.10.0 |
google-crc32c |
1.5.0 |
google-pasta |
0.2.0 |
google-resumable-media |
2.7.0 |
googleapis-common-protos |
1.63.0 |
greenlet |
2.0.1 |
grpcio |
1.60.0 |
grpcio-status |
1.60.0 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
gymnasium |
0.28.1 |
h11 |
0.14.0 |
h5py |
3.10.0 |
hjson |
3.1.0 |
holidays |
0.45 |
horovod |
0.28.1+db1 |
htmlmin |
0.1.12 |
httpcore |
1.0.5 |
httplib2 |
0.20.2 |
httpx |
0.27.0 |
huggingface-hub |
0.21.2 |
idna |
3.4 |
ImageHash |
4.3.1 |
imageio |
2.31.1 |
imbalanced-learn |
0.11.0 |
importlib-metadata |
6.0.0 |
importlib_resources |
6.4.0 |
ipyflow-core |
0.0.198 |
ipykernel |
6.25.1 |
ipython |
8.15.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.7.2 |
isodate |
0.6.1 |
itsdangerous |
2.0.1 |
jax-jumpy |
1.0.0 |
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-server |
1.23.4 |
jupyter_client |
7.4.9 |
jupyter_core |
5.3.0 |
jupyterlab-pygments |
0.1.2 |
keras |
3.1.1 |
keyring |
23.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.1.20 |
langchain-community |
0.0.38 |
langchain-core |
0.1.52 |
langchain-text-splitters |
0.0.2 |
langcodes |
3.4.0 |
langsmith |
0.1.63 |
language_data |
1.2.0 |
launchpadlib |
1.10.16 |
lazr.restfulclient |
0.14.4 |
lazr.uri |
1.0.6 |
lazy_loader |
0.2 |
libclang |
15.0.6.1 |
librosa |
0.10.1 |
lightgbm |
4.3.0 |
linkify-it-py |
2.0.0 |
llvmlite |
0.40.0 |
lxml |
4.9.2 |
lz4 |
4.3.2 |
Mako |
1.2.0 |
marisa-trie |
1.1.1 |
Markdown |
3.4.1 |
markdown-it-py |
2.2.0 |
MarkupSafe |
2.1.1 |
marshmallow |
3.21.2 |
matplotlib |
3.7.2 |
matplotlib-inline |
0.1.6 |
mdit-py-plugins |
0.3.0 |
mdurl |
0.1.0 |
memray |
1.12.0 |
mistune |
0.8.4 |
ml-dtypes |
0.3.2 |
mlflow-skinny |
2.11.3 |
more-itertools |
8.10.0 |
mosaicml-streaming |
0.7.4 |
mpmath |
1.3.0 |
msal |
1.28.0 |
msal-extensions |
1.1.0 |
msgpack |
1.0.8 |
multidict |
6.0.2 |
multimethod |
1.11.2 |
multiprocess |
0.70.14 |
murmurhash |
1.0.10 |
mypy-extensions |
0.4.3 |
namex |
0.0.8 |
nbclassic |
0.5.5 |
nbclient |
0.5.13 |
nbconvert |
6.5.4 |
nbformat |
5.7.0 |
nest-asyncio |
1.5.6 |
networkx |
3.1 |
ninja |
1.11.1.1 |
nltk |
3.8.1 |
notebook |
6.5.4 |
notebook_shim |
0.2.2 |
numba |
0.57.1 |
numpy |
1.23.5 |
oauthlib |
3.2.0 |
oci |
2.126.4 |
openai |
1.29.0 |
opencensus |
0.11.4 |
opencensus-context |
0.1.3 |
opt-einsum |
3.3.0 |
optree |
0.11.0 |
orjson |
3.10.3 |
packaging |
23.2 |
pandas |
1.5.3 |
pandocfilters |
1.5.0 |
paramiko |
3.4.0 |
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 |
23.2.1 |
platformdirs |
3.10.0 |
plotly |
5.9.0 |
pmdarima |
2.0.4 |
pooch |
1.8.1 |
portalocker |
2.8.2 |
preshed |
3.0.9 |
prometheus-client |
0.14.1 |
prompt-toolkit |
3.0.36 |
prophet |
1.1.5 |
proto-plus |
1.23.0 |
protobuf |
4.24.1 |
psutil |
5.9.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pure-eval |
0.2.2 |
py-cpuinfo |
8.0.0 |
py-spy |
0.3.14 |
pyarrow |
14.0.1 |
pyarrow-hotfix |
0.6 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.12.0 |
pyccolo |
0.0.52 |
pycparser |
2.21 |
pydantic |
1.10.6 |
Pygments |
2.15.1 |
PyGObject |
3.42.1 |
PyJWT |
2.3.0 |
PyNaCl |
1.5.0 |
pynvml |
11.5.0 |
pyodbc |
4.0.38 |
pyOpenSSL |
23.2.0 |
pyparsing |
3.0.9 |
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-snappy |
0.6.1 |
pytz |
2022.7 |
PyWavelets |
1.4.1 |
PyYAML |
6.0 |
pyzmq |
23.2.0 |
ray |
2.12.0 |
regex |
2022.7.9 |
requests |
2.31.0 |
requests-oauthlib |
1.3.1 |
rich |
13.7.1 |
rsa |
4.9 |
s3transfer |
0.10.1 |
safetensors |
0.4.2 |
scikit-image |
0.20.0 |
scikit-learn |
1.3.0 |
scipy |
1.11.1 |
seaborn |
0.12.2 |
SecretStorage |
3.3.1 |
Send2Trash |
1.8.0 |
sentence-transformers |
2.7.0 |
sentencepiece |
0.1.99 |
setuptools |
68.0.0 |
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 |
2.4 |
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 |
0.5.0 |
statsmodels |
0.14.0 |
sympy |
1.11.1 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.2.2 |
tensorboard |
2.16.2 |
tensorboard-data-server |
0.7.2 |
tensorboard_plugin_profile |
2.15.1 |
tensorboardX |
2.6.2.2 |
tensorflow |
2.16.1 |
tensorflow-estimator |
2.15.0 |
tensorflow-io-gcs-filesystem |
0.37.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
textual |
0.63.3 |
tf_keras |
2.16.0 |
thinc |
8.2.3 |
threadpoolctl |
2.2.0 |
tifffile |
2021.7.2 |
tiktoken |
0.5.2 |
tinycss2 |
1.2.1 |
tokenize-rt |
4.2.1 |
tokenizers |
0.19.0 |
torch |
2.3.0+cpu |
torcheval |
0.0.7 |
torchvision |
0.18.0+cpu |
tornado |
6.3.2 |
tqdm |
4.65.0 |
traitlets |
5.7.1 |
transformers |
4.40.2 |
typeguard |
2.13.3 |
typer |
0.9.4 |
typing-inspect |
0.9.0 |
typing_extensions |
4.10.0 |
tzdata |
2022.1 |
uc-micro-py |
1.0.1 |
ujson |
5.4.0 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.16 |
virtualenv |
20.24.2 |
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 |
2.2.3 |
wheel |
0.38.4 |
wordcloud |
1.9.3 |
wrapt |
1.14.1 |
xgboost |
2.0.3 |
xxhash |
3.4.1 |
yarl |
1.8.1 |
ydata-profiling |
4.5.1 |
zipp |
3.11.0 |
zstd |
1.5.5.1 |
Python libraries on GPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
accelerate |
0.30.1 |
aiohttp |
3.8.5 |
aiohttp-cors |
0.7.0 |
aiosignal |
1.2.0 |
anyio |
3.5.0 |
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 |
4.0.2 |
attrs |
22.1.0 |
audioread |
3.0.1 |
azure-core |
1.30.1 |
azure-cosmos |
4.3.1 |
azure-identity |
1.16.0 |
azure-storage-blob |
12.19.1 |
azure-storage-file-datalake |
12.14.0 |
backcall |
0.2.0 |
bcrypt |
3.2.0 |
beautifulsoup4 |
4.12.2 |
black |
23.3.0 |
bleach |
4.1.0 |
blinker |
1.4 |
blis |
0.7.11 |
boto3 |
1.34.39 |
botocore |
1.34.39 |
Brotli |
1.0.9 |
cachetools |
5.3.3 |
catalogue |
2.0.10 |
category-encoders |
2.6.3 |
certifi |
2023.7.22 |
cffi |
1.15.1 |
chardet |
4.0.0 |
charset-normalizer |
2.0.4 |
circuitbreaker |
1.4.0 |
click |
8.0.4 |
cloudpathlib |
0.16.0 |
cloudpickle |
2.2.1 |
cmdstanpy |
1.2.2 |
colorful |
0.5.6 |
comm |
0.1.2 |
confection |
0.1.4 |
configparser |
5.2.0 |
contourpy |
1.0.5 |
cryptography |
41.0.3 |
cycler |
0.11.0 |
cymem |
2.0.8 |
Cython |
0.29.32 |
dacite |
1.8.1 |
databricks-automl-runtime |
0.2.21 |
databricks-feature-engineering |
0.5.0 |
databricks-sdk |
0.20.0 |
dataclasses-json |
0.6.6 |
datasets |
2.19.1 |
dbl-tempo |
0.1.26 |
dbus-python |
1.2.18 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.14.0 |
defusedxml |
0.7.1 |
dill |
0.3.6 |
diskcache |
5.6.3 |
distlib |
0.3.8 |
dm-tree |
0.1.8 |
einops |
0.8.0 |
entrypoints |
0.4 |
evaluate |
0.4.2 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 |
fastjsonschema |
2.19.1 |
fasttext |
0.9.2 |
filelock |
3.13.4 |
flash-attn |
2.5.8 |
Flask |
2.2.5 |
flatbuffers |
24.3.25 |
fonttools |
4.25.0 |
frozenlist |
1.3.3 |
fsspec |
2023.5.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.27 |
google-api-core |
2.18.0 |
google-auth |
2.21.0 |
google-auth-oauthlib |
1.0.0 |
google-cloud-core |
2.4.1 |
google-cloud-storage |
2.10.0 |
google-crc32c |
1.5.0 |
google-pasta |
0.2.0 |
google-resumable-media |
2.7.0 |
googleapis-common-protos |
1.63.0 |
greenlet |
2.0.1 |
grpcio |
1.60.0 |
grpcio-status |
1.60.0 |
gunicorn |
20.1.0 |
gviz-api |
1.10.0 |
gymnasium |
0.28.1 |
h11 |
0.14.0 |
h5py |
3.10.0 |
hjson |
3.1.0 |
holidays |
0.45 |
horovod |
0.28.1+db1 |
htmlmin |
0.1.12 |
httpcore |
1.0.5 |
httplib2 |
0.20.2 |
httpx |
0.27.0 |
huggingface-hub |
0.21.2 |
idna |
3.4 |
ImageHash |
4.3.1 |
imageio |
2.31.1 |
imbalanced-learn |
0.11.0 |
importlib-metadata |
6.0.0 |
importlib_resources |
6.4.0 |
ipyflow-core |
0.0.198 |
ipykernel |
6.25.1 |
ipython |
8.15.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
7.7.2 |
isodate |
0.6.1 |
itsdangerous |
2.0.1 |
jax-jumpy |
1.0.0 |
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-server |
1.23.4 |
jupyter_client |
7.4.9 |
jupyter_core |
5.3.0 |
jupyterlab-pygments |
0.1.2 |
keras |
3.1.1 |
keyring |
23.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.1.20 |
langchain-community |
0.0.38 |
langchain-core |
0.1.52 |
langchain-text-splitters |
0.0.2 |
langcodes |
3.4.0 |
langsmith |
0.1.63 |
language_data |
1.2.0 |
launchpadlib |
1.10.16 |
lazr.restfulclient |
0.14.4 |
lazr.uri |
1.0.6 |
lazy_loader |
0.2 |
libclang |
15.0.6.1 |
librosa |
0.10.1 |
lightgbm |
4.3.0 |
linkify-it-py |
2.0.0 |
llvmlite |
0.40.0 |
lxml |
4.9.2 |
lz4 |
4.3.2 |
Mako |
1.2.0 |
marisa-trie |
1.1.1 |
Markdown |
3.4.1 |
markdown-it-py |
2.2.0 |
MarkupSafe |
2.1.1 |
marshmallow |
3.21.2 |
matplotlib |
3.7.2 |
matplotlib-inline |
0.1.6 |
mdit-py-plugins |
0.3.0 |
mdurl |
0.1.0 |
memray |
1.12.0 |
mistune |
0.8.4 |
ml-dtypes |
0.3.2 |
mlflow-skinny |
2.11.3 |
more-itertools |
8.10.0 |
mosaicml-streaming |
0.7.4 |
mpmath |
1.3.0 |
msal |
1.28.0 |
msal-extensions |
1.1.0 |
msgpack |
1.0.8 |
multidict |
6.0.2 |
multimethod |
1.11.2 |
multiprocess |
0.70.14 |
murmurhash |
1.0.10 |
mypy-extensions |
0.4.3 |
namex |
0.0.8 |
nbclassic |
0.5.5 |
nbclient |
0.5.13 |
nbconvert |
6.5.4 |
nbformat |
5.7.0 |
nest-asyncio |
1.5.6 |
networkx |
3.1 |
ninja |
1.11.1.1 |
nltk |
3.8.1 |
notebook |
6.5.4 |
notebook_shim |
0.2.2 |
numba |
0.57.1 |
numpy |
1.23.5 |
nvidia-cublas-cu12 |
12.1.3.1 |
nvidia-cuda-cupti-cu12 |
12.1.105 |
nvidia-cuda-nvrtc-cu12 |
12.1.105 |
nvidia-cuda-runtime-cu12 |
12.1.105 |
nvidia-cudnn-cu12 |
8.9.2.26 |
nvidia-cufft-cu12 |
11.0.2.54 |
nvidia-curand-cu12 |
10.3.2.106 |
nvidia-cusolver-cu12 |
11.4.5.107 |
nvidia-cusparse-cu12 |
12.1.0.106 |
nvidia-nccl-cu12 |
2.20.5 |
nvidia-nvjitlink-cu12 |
12.5.40 |
nvidia-nvtx-cu12 |
12.1.105 |
oauthlib |
3.2.0 |
oci |
2.126.4 |
openai |
1.29.0 |
opencensus |
0.11.4 |
opencensus-context |
0.1.3 |
opt-einsum |
3.3.0 |
optree |
0.11.0 |
orjson |
3.10.3 |
packaging |
23.2 |
pandas |
1.5.3 |
pandocfilters |
1.5.0 |
paramiko |
3.4.0 |
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 |
23.2.1 |
platformdirs |
3.10.0 |
plotly |
5.9.0 |
pmdarima |
2.0.4 |
pooch |
1.8.1 |
portalocker |
2.8.2 |
preshed |
3.0.9 |
prometheus-client |
0.14.1 |
prompt-toolkit |
3.0.36 |
prophet |
1.1.5 |
proto-plus |
1.23.0 |
protobuf |
4.24.1 |
psutil |
5.9.0 |
psycopg2 |
2.9.3 |
ptyprocess |
0.7.0 |
pure-eval |
0.2.2 |
py-cpuinfo |
8.0.0 |
py-spy |
0.3.14 |
pyarrow |
14.0.1 |
pyarrow-hotfix |
0.6 |
pyasn1 |
0.4.8 |
pyasn1-modules |
0.2.8 |
pybind11 |
2.12.0 |
pyccolo |
0.0.52 |
pycparser |
2.21 |
pydantic |
1.10.6 |
Pygments |
2.15.1 |
PyGObject |
3.42.1 |
PyJWT |
2.3.0 |
PyNaCl |
1.5.0 |
pynvml |
11.5.0 |
pyodbc |
4.0.38 |
pyOpenSSL |
23.2.0 |
pyparsing |
3.0.9 |
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-snappy |
0.6.1 |
pytz |
2022.7 |
PyWavelets |
1.4.1 |
PyYAML |
6.0 |
pyzmq |
23.2.0 |
ray |
2.12.0 |
regex |
2022.7.9 |
requests |
2.31.0 |
requests-oauthlib |
1.3.1 |
rich |
13.7.1 |
rsa |
4.9 |
s3transfer |
0.10.1 |
safetensors |
0.4.2 |
scikit-image |
0.20.0 |
scikit-learn |
1.3.0 |
scipy |
1.11.1 |
seaborn |
0.12.2 |
SecretStorage |
3.3.1 |
Send2Trash |
1.8.0 |
sentence-transformers |
2.7.0 |
sentencepiece |
0.1.99 |
setuptools |
68.0.0 |
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 |
2.4 |
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 |
0.5.0 |
statsmodels |
0.14.0 |
sympy |
1.11.1 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.2.2 |
tensorboard |
2.16.2 |
tensorboard-data-server |
0.7.2 |
tensorboard_plugin_profile |
2.15.1 |
tensorboardX |
2.6.2.2 |
tensorflow |
2.16.1 |
tensorflow-estimator |
2.15.0 |
tensorflow-io-gcs-filesystem |
0.37.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
textual |
0.63.3 |
tf_keras |
2.16.0 |
thinc |
8.2.3 |
threadpoolctl |
2.2.0 |
tifffile |
2021.7.2 |
tiktoken |
0.5.2 |
tinycss2 |
1.2.1 |
tokenize-rt |
4.2.1 |
tokenizers |
0.19.0 |
torch |
2.3.0+cu121 |
torcheval |
0.0.7 |
torchvision |
0.18.0+cu121 |
tornado |
6.3.2 |
tqdm |
4.65.0 |
traitlets |
5.7.1 |
transformers |
4.40.2 |
triton |
2.3.0 |
typeguard |
2.13.3 |
typer |
0.9.4 |
typing-inspect |
0.9.0 |
typing_extensions |
4.10.0 |
tzdata |
2022.1 |
uc-micro-py |
1.0.1 |
ujson |
5.4.0 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.16 |
virtualenv |
20.24.2 |
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 |
2.2.3 |
wheel |
0.38.4 |
wordcloud |
1.9.3 |
wrapt |
1.14.1 |
xgboost |
2.0.3 |
xxhash |
3.4.1 |
yarl |
1.8.1 |
ydata-profiling |
4.5.1 |
zipp |
3.11.0 |
zstd |
1.5.5.1 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 15.3.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 15.3, Databricks Runtime 15.3 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 |
0.8.3-db1-spark3.5 |
org.mlflow |
mlflow-client |
2.11.1 |
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 |
0.8.3-db1-spark3.5 |
org.mlflow |
mlflow-client |
2.11.1 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |