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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.
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 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.
For information on what's new in the Databricks Feature Engineering Python API, see the feature engineering client release notes.
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.
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.
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
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.
Databricks Runtime 15.4 LTS ML includes the following top-tier libraries:
- datasets
- GraphFrames
- MLflow
- PyTorch
- spark-tensorflow-connector
- Scikit-learn
- TensorFlow
- TensorBoard
- transformers
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:
- Download the requirements-15.4.txt file.
- On Ubuntu systems, run
sudo apt-get install libpq-dev libcairo2-dev libdbus-1-dev libgirepository1.0-dev libsnappy-dev
to install system libraries. - 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 asdatabricks-automl
, or the Databricks fork ofhyperopt
orhorovod
.
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 |
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 |
The R libraries are identical to the R Libraries in Databricks Runtime 15.4 LTS.
In addition to Java and Scala libraries in Databricks Runtime 15.4 LTS, Databricks Runtime 15.4 LTS ML contains the following JARs:
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 |
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 |