Databricks Runtime 15.4 LTS for Machine Learning

  • Article
  • 05/06/2025

Databricks Runtime 15.4 LTS for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 15.4 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 TorchDistributor.

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 15.4 LTS ML is built on top of Databricks Runtime 15.4 LTS. For information on what's new in Databricks Runtime 15.4 LTS, including Apache Spark MLlib and SparkR, see the Databricks Runtime 15.4 LTS release notes.

AutoML sample weights for classification

AutoML now supports sample weights for classification, letting you adjust the importance of each class during classification model training. For more information, see the classification parameters for the AutoML Python API.

Changes to the Databricks Feature Engineering client

The version of databricks-feature-engineering that was shipped with Databricks Runtime 15.4 LTS ML is 0.6.0. For compute created on or after March 31, 2025 that is not enabled for Photon, the installed version of databricks-feature-engineering is 0.8.0.

For information on what's new in the Databricks Feature Engineering Python API, see the feature engineering client release notes.

Other changes

Petastorm is now deprecated

The Petastorm package is now deprecated. Releases after 15.4 LTS ML will not have this package pre-installed. Mosaic Streaming is the recommended replacement for loading large datasets from cloud storage.

Spark Tensorflow distributor is now deprecated

The spark-tensorflow-distributor package is now deprecated. Releases after 15.4 LTS ML will not have this package pre-installed. Ray on Databricks is the recommended replacement for distributed training a Tensorflow or Keras model.

System environment

The system environment in Databricks Runtime 15.4 LTS ML differs from Databricks Runtime 15.4 LTS 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 15.4 LTS ML that differ from those included in Databricks Runtime 15.4 LTS.

In this section:

Top-tier libraries

Databricks Runtime 15.4 LTS ML includes the following top-tier libraries:

Python libraries

Databricks Runtime 15.4 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 15.4 LTS ML also includes the following packages:

  • hyperopt 0.2.7+db3
  • sparkdl 3.0.0_db1
  • automl 1.28.0

To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment:

  1. Download the requirements-15.4.txt file.

  2. On Ubuntu systems, run sudo apt-get install libpq-dev libcairo2-dev libdbus-1-dev libgirepository1.0-dev libsnappy-dev to install system libraries.

  3. Run pip install -r requirements-15.4.txt --extra-index-url https://download.pytorch.org/whl/cpu. 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, or the Databricks fork of hyperopt or horovod.

Python libraries on CPU clusters

Library Version Library Version Library Version
absl-py 1.0.0 accelerate 0.31.0 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 1.30.2
azure-cosmos 4.3.1 azure-identity 1.17.1 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 5.4.0
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 0.6.0 databricks-sdk 0.20.0
dataclasses-json 0.6.7 datasets 2.19.1 dbl-tempo 0.1.26
dbus-python 1.2.18 debugpy 1.6.7 decorator 5.1.1
deepspeed 0.14.4 defusedxml 0.7.1 Deprecated 1.2.14
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 2.20.0 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 2.7.1 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 0.23.4 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 3.0.0 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 3.2.1 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 1.13.3
mistune 0.8.4 ml-dtypes 0.3.2 mlflow-skinny* 2.13.1
more-itertools 8.10.0 mosaicml-streaming 0.7.4 mpmath 1.3.0
msal 1.29.0 msal-extensions 1.2.0 msgpack 1.0.8
multidict 6.0.2 multimethod 1.12 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-ml-py 12.555.43 oauthlib 3.2.0 oci 2.126.4
openai 1.35.3 opencensus 0.11.4 opencensus-context 0.1.3
opentelemetry-api 1.25.0 opentelemetry-sdk 1.25.0 opentelemetry-semantic-conventions 0.46b0
opt-einsum 3.3.0 optree 0.12.1 orjson 3.10.6
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 2.10.1
preshed 3.0.9 prometheus-client 0.14.1 prompt-toolkit 3.0.36
prophet 1.1.5 proto-plus 1.24.0 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 2.13.1 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
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 2.20.0 regex 2022.7.9
requests 2.31.0 requests-oauthlib 1.3.1 rich 13.7.1
rsa 4.9 s3transfer 0.10.2 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 0.5.1 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 0.37.1 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 2.3.1+cpu torcheval 0.0.7 torchvision 0.18.1+cpu
tornado 6.3.2 tqdm 4.65.0 traitlets 5.7.1
transformers 4.41.2 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

* For compute that was created on or after February 12, 2025 and that is not enabled for Photon, mlflow-skinny is upgraded to 2.19.0.

Python libraries on GPU clusters

Library Version Library Version Library Version
absl-py 1.0.0 accelerate 0.31.0 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 1.30.2
azure-cosmos 4.3.1 azure-identity 1.17.1 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 5.4.0
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 0.6.0 databricks-sdk 0.20.0
dataclasses-json 0.6.7 datasets 2.19.1 dbl-tempo 0.1.26
dbus-python 1.2.18 debugpy 1.6.7 decorator 5.1.1
deepspeed 0.14.4 defusedxml 0.7.1 Deprecated 1.2.14
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 2.20.0 fasttext 0.9.2
filelock 3.13.4 flash-attn 2.5.9.post1 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 2.7.1 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 0.23.4
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 3.0.0 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 3.2.1 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 1.13.4 mistune 0.8.4
ml-dtypes 0.3.2 mlflow-skinny* 2.13.1 more-itertools 8.10.0
mosaicml-streaming 0.7.4 mpmath 1.3.0 msal 1.30.0
msal-extensions 1.2.0 msgpack 1.0.8 multidict 6.0.2
multimethod 1.12 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-ml-py 12.555.43
nvidia-nccl-cu12 2.20.5 nvidia-nvjitlink-cu12 12.5.82 nvidia-nvtx-cu12 12.1.105
oauthlib 3.2.0 oci 2.126.4 openai 1.35.3
opencensus 0.11.4 opencensus-context 0.1.3 opentelemetry-api 1.25.0
opentelemetry-sdk 1.25.0 opentelemetry-semantic-conventions 0.46b0 opt-einsum 3.3.0
optree 0.12.1 orjson 3.10.6 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 2.10.1 preshed 3.0.9
prometheus-client 0.14.1 prompt-toolkit 3.0.36 prophet 1.1.5
proto-plus 1.24.0 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 2.13.1 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 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 2.20.0 regex 2022.7.9 requests 2.31.0
requests-oauthlib 1.3.1 rich 13.7.1 rsa 4.9
s3transfer 0.10.2 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 0.5.1 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 0.37.1
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 2.3.1+cu121
torcheval 0.0.7 torchvision 0.18.1+cu121 tornado 6.3.2
tqdm 4.65.0 traitlets 5.7.1 transformers 4.41.2
triton 2.3.1 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

* For compute that was created on or after February 12, 2025 and that is not enabled for Photon, mlflow-skinny is upgraded to 2.19.0.

R libraries

The R libraries are identical to the R Libraries in Databricks Runtime 15.4 LTS.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 15.4 LTS, Databricks Runtime 15.4 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 0.8.4-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 0.8.4-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