Amazon
Web Services
Microsoft Azure
Google Cloud PlatformDatabricks Runtime 15.0 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 15.0 for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 15.0 (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.
New features and improvements
Databricks Runtime 15.0 ML is built on top of Databricks Runtime 15.0. For information on what’s new in Databricks Runtime 15.0, including Apache Spark MLlib and SparkR, see the Databricks Runtime 15.0 (EoS) release notes.
Breaking changes
Legacy Databricks CLI is no longer installed by default
In Databricks Runtime 14.3 LTS ML and below, because the preinstalled version of MLflow required the legacy Databricks CLI (databricks/databricks-cli), it was automatically installed in $PATH. Databricks Runtime 15.0 ML includes MLflow version 2.10.2, which does not require the legacy CLI.
Starting with Databricks Runtime 15.0 ML, the legacy Databricks CLI is no longer automatically installed in $PATH. This is a breaking change for users who depend on the legacy CLI being installed in the runtime. Commands like %sh databricks ... no longer work in Databricks Runtime 15.0 ML and above.
To continue using the legacy Databricks CLI from a notebook, install it as a cluster or notebook library. The new Databricks CLI (databricks/cli) is available from the web terminal. For more information, see Use web terminal and Databricks CLI.
MLeap is no longer available starting in Databricks Runtime 15.0 ML
MLeap is no longer available in Databricks Runtime 15.0 ML and above. To package models for deployment onto JVM-based frameworks, Databricks recommends using the ONNX format.
Deprecation of Horovod and HorovodRunner
Horovod and HorovodRunner are now deprecated. For distributed deep learning, Databricks recommends using TorchDistributor for distributed training with PyTorch or the tf.distribute.Strategy API for distributed training with TensorFlow. Horovod and HorovodRunner are preinstalled in Databricks Runtime 15.0 ML, but will be removed in the next major Databricks Runtime ML version.
Note
horovod.spark does not support pyarrow versions 11.0 and above (see the relevant GitHub Issue). Databricks Runtime 15.0 ML includes pyarrow version 14.0.1. To use horovod.spark with Databricks Runtime 15.0 ML or above, you must manually install pyarrow, specifying a version below 11.0.
System environment
The system environment in Databricks Runtime 15.0 ML differs from Databricks Runtime 15.0 as follows:
For GPU clusters, Databricks Runtime ML includes the following NVIDIA GPU libraries:
CUDA 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 15.0 ML that differ from those included in Databricks Runtime 15.0.
In this section:
Top-tier libraries
Databricks Runtime 15.0 ML includes the following top-tier libraries:
Python libraries
Databricks Runtime 15.0 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 15.0 ML also includes the following packages:
hyperopt 0.2.7+db4
sparkdl 3.0.0_db1
automl 1.25.0
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-15.0.txt file and run pip install -r requirements-15.0.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 |
3.8.5 |
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-storage-blob |
12.19.0 |
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 |
blessed |
1.20.0 |
blinker |
1.4 |
blis |
0.7.11 |
boto3 |
1.34.39 |
botocore |
1.34.39 |
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 |
click |
8.0.4 |
cloudpathlib |
0.16.0 |
cloudpickle |
2.2.1 |
cmdstanpy |
1.2.1 |
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 |
0.3.0 |
databricks-sdk |
0.20.0 |
dataclasses-json |
0.6.4 |
datasets |
2.16.1 |
dbl-tempo |
0.1.26 |
dbus-python |
1.2.18 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.13.1 |
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 |
0.4.1 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 |
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 |
1.3.3 |
fsspec |
2023.5.0 |
future |
0.18.3 |
gast |
0.4.0 |
gitdb |
4.0.11 |
GitPython |
3.1.27 |
google-api-core |
2.17.1 |
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 |
gpustat |
1.1.1 |
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 |
3.9.0 |
hjson |
3.1.0 |
holidays |
0.38 |
horovod |
0.28.1+db1 |
htmlmin |
0.1.12 |
httpcore |
1.0.4 |
httplib2 |
0.20.2 |
httpx |
0.27.0 |
huggingface-hub |
0.20.2 |
idna |
3.4 |
ImageHash |
4.3.1 |
imageio |
2.31.1 |
imbalanced-learn |
0.11.0 |
importlib-metadata |
6.0.0 |
importlib_resources |
6.1.2 |
ipyflow-core |
0.0.198 |
ipykernel |
6.25.1 |
ipython |
8.15.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
8.0.4 |
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 |
jupyterlab-widgets |
3.0.5 |
keras |
2.15.0 |
keyring |
23.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.1.3 |
langchain-community |
0.0.20 |
langchain-core |
0.1.23 |
langcodes |
3.3.0 |
langsmith |
0.0.87 |
launchpadlib |
1.10.16 |
lazr.restfulclient |
0.14.4 |
lazr.uri |
1.0.6 |
lazy_loader |
0.2 |
libclang |
16.0.6 |
librosa |
0.10.1 |
lightgbm |
4.2.0 |
llvmlite |
0.40.0 |
lxml |
4.9.2 |
lz4 |
4.3.2 |
Mako |
1.2.0 |
Markdown |
3.4.1 |
markdown-it-py |
2.2.0 |
MarkupSafe |
2.1.1 |
marshmallow |
3.21.1 |
matplotlib |
3.7.2 |
matplotlib-inline |
0.1.6 |
mdurl |
0.1.0 |
mistune |
0.8.4 |
ml-dtypes |
0.2.0 |
mlflow-skinny |
2.10.2 |
more-itertools |
8.10.0 |
mpmath |
1.3.0 |
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 |
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-ml-py |
12.535.133 |
oauthlib |
3.2.0 |
openai |
1.9.0 |
opencensus |
0.11.4 |
opencensus-context |
0.1.3 |
opt-einsum |
3.3.0 |
packaging |
23.2 |
pandas |
2.0.3 |
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 |
23.2.1 |
platformdirs |
3.10.0 |
plotly |
5.9.0 |
pmdarima |
2.0.4 |
pooch |
1.8.1 |
preshed |
3.0.9 |
prometheus-client |
0.14.1 |
prompt-toolkit |
3.0.36 |
prophet |
1.1.5 |
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 |
2.11.1 |
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 |
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 |
pytz |
2022.7 |
PyWavelets |
1.4.1 |
PyYAML |
6.0 |
pyzmq |
23.2.0 |
ray |
2.9.3 |
regex |
2022.7.9 |
requests |
2.31.0 |
requests-oauthlib |
1.3.1 |
responses |
0.13.3 |
rich |
13.7.1 |
rsa |
4.9 |
s3transfer |
0.10.0 |
safetensors |
0.3.2 |
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 |
2.2.2 |
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 |
0.3.0 |
statsmodels |
0.14.0 |
sympy |
1.11.1 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.2.2 |
tensorboard |
2.15.1 |
tensorboard-data-server |
0.7.2 |
tensorboard-plugin-profile |
2.15.0 |
tensorboardX |
2.6.2.2 |
tensorflow-cpu |
2.15.0 |
tensorflow-estimator |
2.15.0 |
tensorflow-io-gcs-filesystem |
0.36.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
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 |
0.15.0 |
torch |
2.1.2+cpu |
torcheval |
0.0.7 |
torchvision |
0.16.2+cpu |
tornado |
6.3.2 |
tqdm |
4.65.0 |
traitlets |
5.7.1 |
transformers |
4.36.2 |
typeguard |
2.13.3 |
typer |
0.9.0 |
typing-inspect |
0.9.0 |
typing_extensions |
4.7.1 |
tzdata |
2022.1 |
ujson |
5.4.0 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.16 |
virtualenv |
20.21.0 |
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 |
widgetsnbextension |
4.0.5 |
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 |
Python libraries on GPU clusters
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
absl-py |
1.0.0 |
accelerate |
0.25.0 |
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-storage-blob |
12.19.0 |
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 |
blessed |
1.20.0 |
blinker |
1.4 |
blis |
0.7.11 |
boto3 |
1.34.39 |
botocore |
1.34.39 |
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 |
click |
8.0.4 |
cloudpathlib |
0.16.0 |
cloudpickle |
2.2.1 |
cmdstanpy |
1.2.1 |
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 |
0.3.0 |
databricks-sdk |
0.20.0 |
dataclasses-json |
0.6.4 |
datasets |
2.16.1 |
dbl-tempo |
0.1.26 |
dbus-python |
1.2.18 |
debugpy |
1.6.7 |
decorator |
5.1.1 |
deepspeed |
0.13.1 |
defusedxml |
0.7.1 |
dill |
0.3.6 |
diskcache |
5.6.3 |
distlib |
0.3.8 |
dm-tree |
0.1.8 |
einops |
0.7.0 |
entrypoints |
0.4 |
evaluate |
0.4.1 |
executing |
0.8.3 |
facets-overview |
1.1.1 |
Farama-Notifications |
0.0.4 |
fastjsonschema |
2.19.1 |
fasttext |
0.9.2 |
filelock |
3.9.0 |
flash-attn |
2.5.0 |
Flask |
2.2.5 |
flatbuffers |
23.5.26 |
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 |
2.17.1 |
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 |
gpustat |
1.1.1 |
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 |
3.9.0 |
hjson |
3.1.0 |
holidays |
0.38 |
horovod |
0.28.1+db1 |
htmlmin |
0.1.12 |
httpcore |
1.0.4 |
httplib2 |
0.20.2 |
httpx |
0.27.0 |
huggingface-hub |
0.20.2 |
idna |
3.4 |
ImageHash |
4.3.1 |
imageio |
2.31.1 |
imbalanced-learn |
0.11.0 |
importlib-metadata |
6.0.0 |
importlib_resources |
6.1.2 |
ipyflow-core |
0.0.198 |
ipykernel |
6.25.1 |
ipython |
8.15.0 |
ipython-genutils |
0.2.0 |
ipywidgets |
8.0.4 |
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 |
jupyterlab-widgets |
3.0.5 |
keras |
2.15.0 |
keyring |
23.5.0 |
kiwisolver |
1.4.4 |
langchain |
0.1.3 |
langchain-community |
0.0.20 |
langchain-core |
0.1.23 |
langcodes |
3.3.0 |
langsmith |
0.0.87 |
launchpadlib |
1.10.16 |
lazr.restfulclient |
0.14.4 |
lazr.uri |
1.0.6 |
lazy_loader |
0.2 |
libclang |
16.0.6 |
librosa |
0.10.1 |
lightgbm |
4.2.0 |
llvmlite |
0.40.0 |
lxml |
4.9.2 |
lz4 |
4.3.2 |
Mako |
1.2.0 |
Markdown |
3.4.1 |
markdown-it-py |
2.2.0 |
MarkupSafe |
2.1.1 |
marshmallow |
3.21.1 |
matplotlib |
3.7.2 |
matplotlib-inline |
0.1.6 |
mdurl |
0.1.0 |
mistune |
0.8.4 |
ml-dtypes |
0.2.0 |
mlflow-skinny |
2.10.2 |
more-itertools |
8.10.0 |
mpmath |
1.3.0 |
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 |
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-ml-py |
12.535.133 |
oauthlib |
3.2.0 |
openai |
1.9.0 |
opencensus |
0.11.4 |
opencensus-context |
0.1.3 |
opt-einsum |
3.3.0 |
packaging |
23.2 |
pandas |
2.0.3 |
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 |
23.2.1 |
platformdirs |
3.10.0 |
plotly |
5.9.0 |
pmdarima |
2.0.4 |
pooch |
1.8.1 |
preshed |
3.0.9 |
prompt-toolkit |
3.0.36 |
prophet |
1.1.5 |
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 |
2.11.1 |
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 |
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 |
pytz |
2022.7 |
PyWavelets |
1.4.1 |
PyYAML |
6.0 |
pyzmq |
23.2.0 |
ray |
2.9.3 |
regex |
2022.7.9 |
requests |
2.31.0 |
requests-oauthlib |
1.3.1 |
responses |
0.13.3 |
rich |
13.7.1 |
rsa |
4.9 |
s3transfer |
0.10.0 |
safetensors |
0.3.2 |
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 |
2.2.2 |
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 |
0.3.0 |
statsmodels |
0.14.0 |
sympy |
1.11.1 |
tangled-up-in-unicode |
0.2.0 |
tenacity |
8.2.2 |
tensorboard |
2.15.1 |
tensorboard-data-server |
0.7.2 |
tensorboard-plugin-profile |
2.15.0 |
tensorboardX |
2.6.2.2 |
tensorflow |
2.15.0 |
tensorflow-estimator |
2.15.0 |
tensorflow-io-gcs-filesystem |
0.36.0 |
termcolor |
2.4.0 |
terminado |
0.17.1 |
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 |
0.15.0 |
torch |
2.1.2+cu121 |
torcheval |
0.0.7 |
torchvision |
0.16.2+cu121 |
tornado |
6.3.2 |
tqdm |
4.65.0 |
traitlets |
5.7.1 |
transformers |
4.36.2 |
triton |
2.1.0 |
typeguard |
2.13.3 |
typer |
0.9.0 |
typing-inspect |
0.9.0 |
typing_extensions |
4.7.1 |
tzdata |
2022.1 |
ujson |
5.4.0 |
unattended-upgrades |
0.1 |
urllib3 |
1.26.16 |
virtualenv |
20.21.0 |
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 |
widgetsnbextension |
4.0.5 |
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 |
R libraries
The R libraries are identical to the R Libraries in Databricks Runtime 15.0.
Java and Scala libraries (Scala 2.12 cluster)
In addition to Java and Scala libraries in Databricks Runtime 15.0, Databricks Runtime 15.0 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 |
2.10.2 |
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 |
2.10.2 |
org.scala-lang.modules |
scala-java8-compat_2.12 |
0.8.0 |
org.tensorflow |
spark-tensorflow-connector_2.12 |
1.15.0 |