Databricks Runtime 16.0 untuk Pembelajaran Mesin
Databricks Runtime 16.0 untuk Pembelajaran Mesin menyediakan lingkungan siap pakai untuk pembelajaran mesin dan ilmu data berdasarkan Databricks Runtime 16.0. Runtime Bahasa Umum Databricks ML berisi banyak pustaka pembelajaran mesin populer, termasuk TensorFlow, PyTorch, dan XGBoost. Databricks Runtime ML mencakup AutoML, alat untuk secara otomatis melatih alur pembelajaran mesin. Databricks Runtime ML juga mendukung pelatihan pembelajaran mendalam terdistribusi menggunakan TorchDistributor, DeepSpeed, dan Ray.
Tip
Untuk melihat catatan rilis untuk versi Databricks Runtime yang telah mencapai akhir dukungan (EoS), lihat Catatan rilis Databricks Runtime akhir dukungan. Versi EoS Databricks Runtime telah dihentikan dan mungkin tidak diperbarui.
Fitur dan peningkatan baru
Databricks Runtime 16.0 ML dibangun di atas Databricks Runtime 16.0. Untuk informasi tentang apa yang baru di Databricks Runtime 16.0, termasuk Apache Spark MLlib dan SparkR, lihat catatan rilis Databricks Runtime 16.0 .
Paket Python baru
Paket Python berikut telah ditambahkan ke Databricks Runtime ML:
- composer 0.24.1
- optuna 3.6.1
Bobot sampel AutoML untuk prakiraan
AutoML sekarang mendukung bobot sampel untuk prakiraan, memungkinkan Anda menyesuaikan pentingnya setiap rangkaian waktu untuk melatih model prakiraan multi-rangkaian waktu. Untuk informasi selengkapnya, lihat parameter prakiraan untuk AutoML Python API.
Menggunakan tampilan di Katalog Unity sebagai tabel fitur
Sekarang Anda dapat menggunakan tampilan di Katalog Unity sebagai tabel fitur. Lihat Gunakan tampilan yang ada di Katalog Unity sebagai tabel fitur.
Perubahan lainnya
Horovod, HorovodRunner, Petastorm, spark-tensorflow-distributor dihapus
Paket berikut yang disertakan dalam versi Databricks Runtime ML sebelumnya tidak disertakan dalam Databricks Runtime 16.0 ML:
- Horovod
- HorovodRunner
- Petastorm
spark-tensorflow-distributor
Databricks merekomendasikan penggantian berikut:
- Untuk pembelajaran mendalam terdistribusi, Databricks merekomendasikan penggunaan TorchDistributor untuk pelatihan terdistribusi dengan PyTorch atau
tf.distribute.StrategyAPI untuk pelatihan terdistribusi dengan TensorFlow. - Untuk memuat himpunan data besar dari penyimpanan cloud, Databricks merekomendasikan penggunaan Mosaic Streaming.
- Untuk pelatihan terdistribusi untuk model TensorFlow atau Keras, Databricks merekomendasikan penggunaan Ray. Lihat Ray di Databricks dan dokumentasi Ray.
Lingkungan sistem
Lingkungan sistem di Databricks Runtime 16.0 ML berbeda dari Databricks Runtime 16.0 sebagai berikut:
- Untuk kluster GPU, Databricks Runtime ML menyertakan pustaka GPU NVIDIA berikut:
- CUDA 12.6
- cublas 12.6.0.22-1
- cusolver 11.6.4.38-1
- cupti 12.6.37-1
- cusparse 12.5.2.23-1
- cuDNN 9.3.0.75-1
- NCCL 2.22.3
- TensorRT 10.2.0.19-1
Pustaka
Bagian berikut mencantumkan pustaka yang disertakan dalam Databricks Runtime 16.0 ML yang berbeda dengan yang disertakan dalam Databricks Runtime 16.0.
Di bagian ini:
Pustaka tingkat atas
Databricks Runtime 16.0 ML menyertakan pustaka tingkat atas berikut:
- Dataset
- GraphFrames
- MLflow
- PyTorch
- spark-tensorflow-connector
- Scikit-learn
- Streaming
- TensorFlow 2.5.0
- TensorBoard
- Transformers
Pustaka Python
Databricks Runtime 16.0 ML menggunakan virtualenv untuk manajemen paket Python dan mencakup banyak paket ML populer.
Selain paket yang ditentukan di bagian berikut, Databricks Runtime 16.0 ML juga mencakup paket berikut:
- hyperopt 0.2.7+db5
- automl 1.29.0
Untuk mereproduksi lingkungan Databricks Runtime ML Python di lingkungan virtual Python lokal Anda, unduh file requirements-16.0.txt dan jalankan pip install -r requirements-16.0.txt. Perintah ini menginstal semua pustaka sumber terbuka yang digunakan Databricks Runtime ML, tetapi tidak menginstal pustaka yang dikembangkan oleh Databricks, seperti databricks-automl, , databricks-feature-engineeringatau fork Databricks dari hyperopt.
Pustaka Phyton di kluster CPU
| Pustaka | Versi | Pustaka | Versi | Pustaka | Versi |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | Mempercepat | 0.33.0 | aiohttp | 3.9.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | alembic | 1.13.3 |
| jenis anotasi | 0.7.0 | anyio | 4.2.0 | argcomplete | 3.5.0 |
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | anak panah | 1.2.3 |
| astor | 0.8.1 | asttoken | 2.0.5 | astunparse | 1.6.3 |
| asinkron-lru | 2.0.4 | attrs | 23.1.0 | audioread | 3.0.1 |
| autocommand | 2.2.2 | azure-core | 1.31.0 | azure-cosmos | 4.3.1 |
| azure-identity | 1.18.0 | azure-storage-blob | 12.23.1 | azure-storage-file-datalake | 12.17.0 |
| Babel | 2.11.0 | backoff | 2.2.1 | backports.tarfile | 1.2.0 |
| bcrypt | 3.2.0 | beautifulsoup4 | 4.12.3 | hitam | 24.4.2 |
| pemutih | 4.1.0 | blinker | 1.7.0 | blis | 0.7.11 |
| boto3 | 1.34.69 | botocore | 1.34.69 | Brotli | 1.0.9 |
| cachetools | 5.3.3 | catalogue | 2.0.10 | category-encoders | 2.6.3 |
| certifi | 2024.6.2 | cffi | 1.16.0 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | circuitbreaker | 2.0.0 | klik | 8.1.7 |
| cloudpathlib | 0.19.0 | cloudpickle | 2.2.1 | cmdstanpy | 1.2.4 |
| berwarna-warni | 0.5.6 | colorlog | 6.8.2 | komunikasi | 0.2.1 |
| komponis | 0.24.1 | konfeksi | 0.1.5 | configparser | 5.2.0 |
| konturpy | 1.2.0 | nama dingin | 2.2.0 | cryptography | 42.0.5 |
| cycler | 0.11.0 | cymem | 2.0.8 | Cython | 3.0.11 |
| dacite | 1.8.1 | databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.7.0 |
| databricks-sdk | 0.30.0 | datasets | 2.20.0 | dbl-tempo | 0.1.26 |
| dbus-python | 1.3.2 | debugpy | 1.6.7 | decorator | 5.1.1 |
| deepspeed | 0.14.4 | defusedxml | 0.7.1 | Tidak digunakan lagi | 1.2.14 |
| dill | 0.3.8 | distlib | 0.3.8 | dm-tree | 0.1.8 |
| docstring-to-markdown | 0.11 | titik masuk | 0,4 | evaluate | 0.4.2 |
| menjalankan | 0.8.3 | facets-overview | 1.1.1 | Pemberitahuan Farama | 0.0.4 |
| fastjsonschema | 2.20.0 | fasttext-wheel | 0.9.2 | filelock | 3.13.1 |
| Flask | 2.2.5 | flatbuffers | 24.3.25 | fonttools | 4.51.0 |
| Fqdn | 1.5.1 | daftar beku | 1.4.0 | fsspec | 2023.5.0 |
| future | 0.18.3 | gast | 0.4.0 | gitdb | 4.0.11 |
| GitPython | 3.1.37 | google-api-core | 2.20.0 | 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 | 1.6.0 | google-pasta | 0.2.0 | google-resumable-media | 2.7.2 |
| googleapis-common-protos | 1.65.0 | gql | 3.5.0 | graphql-core | 3.2.4 |
| greenlet | 3.0.1 | grpcio | 1.60.0 | grpcio-status | 1.60.0 |
| gunicorn==19.9.0 | 20.1.0 | gviz-api | 1.10.0 | Gimnasium | 0.28.1 |
| h11 | 0.14.0 | h5py | 3.11.0 | hjson | 3.1.0 |
| hari libur | 0,54 | htmlmin | 0.1.12 | httpcore | 1.0.5 |
| httplib2 | 0.20.4 | httpx | 0.27.2 | huggingface-hub | 0.24.5 |
| idna | 3.7 | ImageHash | 4.3.1 | imageio | 2.33.1 |
| imbalanced-learn | 0.12.3 | importlib-metadata | 6.0.0 | importlib_resources | 6.4.5 |
| inflect | 7.3.1 | ipyflow-core | 0.0.201 | ipykernel | 6.28.0 |
| ipython | 8.25.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| isodate | 0.6.1 | isodurasi | 20.11.0 | itsdangerous | 2.2.0 |
| jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 | jaraco.text | 3.12.1 |
| jax-jumpy | 1.0.0 | jedi | 0.19.1 | Jinja2 | 3.1.4 |
| jiter | 0.5.0 | jmespath | 1.0.1 | joblib | 1.4.2 |
| joblibspark | 0.5.1 | json5 | 0.9.6 | jsonpatch | 1,33 |
| jsonpointer | 3.0.0 | jsonschema | 4.19.2 | spesifikasi jsonschema | 2023.7.1 |
| peristiwa jupyter | 0.10.0 | jupyter-lsp | 2.2.0 | jupyter_client | 8.6.0 |
| jupyter_core | 5.7.2 | jupyter_server | 2.14.1 | jupyter_server_terminals | 0.4.4 |
| jupyterlab | 4.0.11 | jupyterlab-pygments | 0.1.2 | jupyterlab_server | 2.25.1 |
| keras | 3.5.0 | kiwisolver | 1.4.4 | langchain | 0.2.12 |
| langchain-core | 0.2.41 | pemisah teks rantai | 0.2.4 | langcodes | 3.4.1 |
| langsmith | 0.1.129 | language_data | 1.2.0 | launchpadlib | 1.11.0 |
| lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 | lazy_loader | 0,4 |
| libclang | 15.0.6.1 | librosa | 0.10.2 | lightgbm | 4.5.0 |
| utilitas kilat | 0.11.7 | linkify-it-py | 2.0.0 | llvmlite | 0.42.0 |
| lz4 | 4.3.2 | Mako | 1.2.0 | marisa-trie | 1.2.0 |
| Markdown | 3.4.1 | markdown-it-py | 2.2.0 | MarkupSafe | 2.1.3 |
| matplotlib | 3.8.4 | matplotlib-inline | 0.1.6 | Mccabe | 0.7.0 |
| mdit-py-plugins | 0.3.0 | mdurl | 0.1.0 | memray | 1.14.0 |
| mistune | 2.0.4 | ml-dtypes | 0.4.1 | mlflow-skinny | 2.15.1 |
| more-itertools | 10.3.0 | mosaicml-cli | 0.6.41 | mosaicml-streaming | 0.8.0 |
| mpmath | 1.3.0 | msal | 1.31.0 | msal-extensions | 1.2.0 |
| msgpack | 1.1.0 | multidikat | 6.0.4 | multimethod | 1.12 |
| multiproscess | 0.70.16 | murmurhash | 1.0.10 | mypy | 1.10.0 |
| ekstensi mypy | 1.0.0 | namex | 0.0.8 | nbclient | 0.8.0 |
| nbconvert | 7.10.0 | nbformat | 5.9.2 | nest-asyncio | 1.6.0 |
| networkx | 3.2.1 | ninja | 1.11.1.1 | nltk | 3.8.1 |
| nodeenv | 1.9.1 | buku catatan | 7.0.8 | notebook_shim | 0.2.3 |
| numba | 0.59.1 | numpy | 1.26.4 | nvidia-ml-py | 12.560.30 |
| oauthlib | 3.2.0 | Oci | 2.135.0 | openai | 1.40.2 |
| opencensus | 0.11.4 | opencensus-context | 0.1.3 | opentelemetry-api | 1.27.0 |
| opentelemetry-sdk | 1.27.0 | opentelemetry-semantic-conventions | 0.48b0 | opt_einsum | 3.4.0 |
| optree | 0.12.1 | optuna | 3.6.1 | integrasi optuna | 3.6.0 |
| orjson | 3.10.7 | Mengabaikan | 7.4.0 | packaging | 24.1 |
| pandas | 1.5.3 | pandocfilters | 1.5.0 | paramiko | 3.4.0 |
| parso | 0.8.3 | pathspec | 0.10.3 | patsy | 0.5.6 |
| pexpect=4.8.0 | 4.8.0 | phik | 0.12.4 | pillow | 10.3.0 |
| pip | 24,2 | platformdir | 3.10.0 | plotly | 5.22.0 |
| pluggy | 1.0.0 | pmdarima | 2.0.4 | Anjing | 1.8.2 |
| portalocker | 2.10.1 | preshed | 3.0.9 | prometheus-client | 0.14.1 |
| prompt-toolkit | 3.0.43 | 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 | 9.0.0 |
| py-spy | 0.3.14 | pyarrow | 15.0.2 | pyarrow-hotfix | 0,6 |
| pyasn1 | 0.4.8 | pyasn1-modul | 0.2.8 | pybind11 | 2.13.6 |
| pyccolo | 0.0.65 | pycparser | 2.21 | pydantic | 2.8.2 |
| pydantic_core | 2.20.1 | pyflakes | 3.2.0 | Pygments | 2.15.1 |
| PyGObject | 3.48.2 | PyJWT | 2.7.0 | PyNaCl | 1.5.0 |
| pyodbc | 5.0.1 | pyOpenSSL | 24.0.0 | pyparsing | 3.0.9 |
| pyright | 1.1.294 | pytesseract | 0.3.10 | python-dateutil | 2.9.0.post0 |
| python-editor teks | 1.0.4 | python-json-logger | 2.0.7 | python-lsp-jsonrpc | 1.1.2 |
| python-lsp-server | 1.10.0 | python-snappy | 0.6.1 | pytoolconfig | 1.2.6 |
| pytorch-ranger | 0.1.1 | pytz | 2024.1 | PyWavelets | 1.5.0 |
| PyYAML | 6.0.1 | pyzmq | 25.1.2 | pertanyaan | 1.10.0 |
| ikan pari | 2.35.0 | Referensi | 0.30.2 | regex | 2023.10.3 |
| permintaan | 2.32.2 | requests-oauthlib | 1.3.1 | rfc3339-validator | 0.1.4 |
| rfc3986-validator | 0.1.1 | rich | 13.3.5 | tali | 1.12.0 |
| rpds-py | 0.10.6 | rsa | 4.9 | ruamel.yaml | 0.18.6 |
| ruamel.yaml.clib | 0.2.8 | s3transfer | 0.10.2 | safetensor | 0.4.4 |
| scikit-image | 0.23.2 | scikit-learn | 1.4.2 | scipy | 1.13.1 |
| seaborn | 0.13.2 | Send2Trash | 1.8.2 | transformator kalimat | 3.0.1 |
| sentencepiece | 0.2.0 | setuptools | 74.0.0 | shap | 0.46.0 |
| shellingham | 1.5.4 | simplejson | 3.17.6 | six | 1.16.0 |
| slicer | 0.0.8 | smart-open | 5.2.1 | smmap | 5.0.0 |
| sniffio | 1.3.0 | soundfile | 0.12.1 | soupsieve | 2.5 |
| soxr | 0.5.0.post1 | spacy | 3.7.5 | spacy-legacy | 3.0.12 |
| spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.30 | sqlparse | 0.4.2 |
| srsly | 2.4.8 | ssh-import-id | 5.11 | stack-data | 0.2.0 |
| stanio | 0.5.1 | statsmodels | 0.14.2 | sympy | 1.12 |
| tabulate | 0.9.0 | tangled-up-in-unicode | 0.2.0 | tenacity | 8.2.2 |
| tensorboard | 2.17.0 | tensorboard-data-server | 0.7.2 | tensorboard-plugin-profile | 2.17.0 |
| tensorboardX | 2.6.2.2 | tensorflow | 2.18.0 | tensorflow-estimator | 2.15.0 |
| termcolor | 2.4.0 | terminado | 0.17.1 | Tekstual | 0.81.0 |
| tf_keras | 2.17.0 | thinc | 8.2.5 | threadpoolctl | 2.2.0 |
| tifffile | 2023.4.12 | tiktoken | 0.7.0 | tinycss2 | 1.2.1 |
| tokenize-rt | 4.2.1 | tokenizers | 0.19.1 | tomli | 2.0.1 |
| obor | 2.4.0+cpu | pengoptimal obor | 0.3.0 | torcheval | 0.0.7 |
| torchmetrics | 1.4.0.post0 | torchvision | 0.19.0+cpu | tornado | 6.4.1 |
| tqdm | 4.66.4 | traitlets=5.0.5 | 5.14.3 | Transformer | 4.44.0 |
| typeguard | 4.3.0 | typer | 0.12.5 | type-protobuf | 3.20.3 |
| type-psutil | 5.9.0 | type-pytz | 2023.3.1.1 | type-PyYAML | 6.0.0 |
| jenis permintaan | 2.31.0.0 | type-setuptools | 68.0.0.0 | type-six | 1.16.0 |
| type-urllib3 | 1.26.25.14 | typing_extensions | 4.11.0 | uc-micro-py | 1.0.1 |
| ujson | 5.10.0 | unattended-upgrades | 0.1 | templat uri | 1.3.0 |
| urllib3 | 1.26.16 | validator | 0.34.0 | virtualenv | 20.26.2 |
| visions | 0.7.5 | wadllib | 1.3.6 | wasabi | 1.1.3 |
| wcwidth | 0.2.5 | Musang | 0.4.1 | warna web | 24.8.0 |
| webencodings=0.5.1 | 0.5.1 | websocket-client | 1.8.0 | websocket | 11.0.3 |
| Werkzeug | 3.0.3 | whatthepatch | 1.0.2 | wheel | 0.43.0 |
| wordcloud | 1.9.3 | wrapt | 1.14.1 | xgboost | 2.0.3 |
| xgboost-ray | 0.1.19 | xxhash | 3.4.1 | yapf | 0.33.0 |
| yarl | 1.9.3 | Pembuatan profil ydata | 4.9.0 | zipp | 3.17.0 |
| zstd | 1.5.5.1 |
Pustaka Phyton di kluster GPU
| Pustaka | Versi | Pustaka | Versi | Pustaka | Versi |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | Mempercepat | 0.33.0 | aiohttp | 3.9.5 |
| aiohttp-cors | 0.7.0 | aiosignal | 1.2.0 | jenis anotasi | 0.7.0 |
| anyio | 4.2.0 | argcomplete | 3.5.0 | argon2-cffi | 21.3.0 |
| argon2-cffi-bindings | 21.2.0 | anak panah | 1.2.3 | astor | 0.8.1 |
| asttoken | 2.0.5 | astunparse | 1.6.3 | asinkron-lru | 2.0.4 |
| attrs | 23.1.0 | audioread | 3.0.1 | autocommand | 2.2.2 |
| azure-core | 1.31.0 | azure-cosmos | 4.3.1 | azure-identity | 1.18.0 |
| azure-storage-blob | 12.23.1 | azure-storage-file-datalake | 12.17.0 | Babel | 2.11.0 |
| backoff | 2.2.1 | backports.tarfile | 1.2.0 | bcrypt | 3.2.0 |
| beautifulsoup4 | 4.12.3 | hitam | 24.4.2 | pemutih | 4.1.0 |
| blinker | 1.7.0 | blis | 0.7.11 | boto3 | 1.34.69 |
| botocore | 1.34.69 | Brotli | 1.0.9 | cachetools | 5.3.3 |
| catalogue | 2.0.10 | category-encoders | 2.6.3 | certifi | 2024.6.2 |
| cffi | 1.16.0 | chardet | 4.0.0 | charset-normalizer | 2.0.4 |
| circuitbreaker | 2.0.0 | klik | 8.1.7 | cloudpathlib | 0.19.0 |
| cloudpickle | 2.2.1 | cmdstanpy | 1.2.4 | berwarna-warni | 0.5.6 |
| colorlog | 6.8.2 | komunikasi | 0.2.1 | komponis | 0.24.1 |
| konfeksi | 0.1.5 | configparser | 5.2.0 | konturpy | 1.2.0 |
| nama dingin | 2.2.0 | cryptography | 42.0.5 | cycler | 0.11.0 |
| cymem | 2.0.8 | Cython | 3.0.11 | dacite | 1.8.1 |
| databricks-automl-runtime | 0.2.21 | databricks-feature-engineering | 0.7.0 | databricks-sdk | 0.30.0 |
| datasets | 2.20.0 | dbl-tempo | 0.1.26 | dbus-python | 1.3.2 |
| debugpy | 1.6.7 | decorator | 5.1.1 | deepspeed | 0.14.4 |
| defusedxml | 0.7.1 | Tidak digunakan lagi | 1.2.14 | dill | 0.3.8 |
| distlib | 0.3.8 | dm-tree | 0.1.8 | docstring-to-markdown | 0.11 |
| einops | 0.8.0 | titik masuk | 0,4 | evaluate | 0.4.2 |
| menjalankan | 0.8.3 | facets-overview | 1.1.1 | Pemberitahuan Farama | 0.0.4 |
| fastjsonschema | 2.20.0 | fasttext-wheel | 0.9.2 | filelock | 3.13.1 |
| flash_attn | 2.5.6 | Flask | 2.2.5 | flatbuffers | 24.3.25 |
| fonttools | 4.51.0 | Fqdn | 1.5.1 | daftar beku | 1.4.0 |
| fsspec | 2023.5.0 | future | 0.18.3 | gast | 0.4.0 |
| gitdb | 4.0.11 | GitPython | 3.1.37 | google-api-core | 2.20.0 |
| 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 | 1.6.0 | google-pasta | 0.2.0 |
| google-resumable-media | 2.7.2 | googleapis-common-protos | 1.65.0 | gql | 3.5.0 |
| graphql-core | 3.2.4 | greenlet | 3.0.1 | grpcio | 1.60.0 |
| grpcio-status | 1.60.0 | gunicorn==19.9.0 | 20.1.0 | gviz-api | 1.10.0 |
| Gimnasium | 0.28.1 | h11 | 0.14.0 | h5py | 3.11.0 |
| hjson | 3.1.0 | hari libur | 0,54 | htmlmin | 0.1.12 |
| httpcore | 1.0.5 | httplib2 | 0.20.4 | httpx | 0.27.2 |
| huggingface-hub | 0.24.5 | idna | 3.7 | ImageHash | 4.3.1 |
| imageio | 2.33.1 | imbalanced-learn | 0.12.3 | importlib-metadata | 6.0.0 |
| importlib_resources | 6.4.5 | inflect | 7.3.1 | ipyflow-core | 0.0.201 |
| ipykernel | 6.28.0 | ipython | 8.25.0 | ipython-genutils | 0.2.0 |
| ipywidgets | 7.7.2 | isodate | 0.6.1 | isodurasi | 20.11.0 |
| itsdangerous | 2.2.0 | jaraco.context | 5.3.0 | jaraco.functools | 4.0.1 |
| jaraco.text | 3.12.1 | jax-jumpy | 1.0.0 | jedi | 0.19.1 |
| Jinja2 | 3.1.4 | jiter | 0.5.0 | jmespath | 1.0.1 |
| joblib | 1.4.2 | joblibspark | 0.5.1 | json5 | 0.9.6 |
| jsonpatch | 1,33 | jsonpointer | 3.0.0 | jsonschema | 4.19.2 |
| spesifikasi jsonschema | 2023.7.1 | peristiwa jupyter | 0.10.0 | jupyter-lsp | 2.2.0 |
| jupyter_client | 8.6.0 | jupyter_core | 5.7.2 | jupyter_server | 2.14.1 |
| jupyter_server_terminals | 0.4.4 | jupyterlab | 4.0.11 | jupyterlab-pygments | 0.1.2 |
| jupyterlab_server | 2.25.1 | keras | 3.5.0 | kiwisolver | 1.4.4 |
| langchain | 0.2.12 | langchain-core | 0.2.41 | pemisah teks rantai | 0.2.4 |
| langcodes | 3.4.1 | langsmith | 0.1.129 | language_data | 1.2.0 |
| launchpadlib | 1.11.0 | lazr.restfulclient | 0.14.6 | lazr.uri | 1.0.6 |
| lazy_loader | 0,4 | libclang | 15.0.6.1 | librosa | 0.10.2 |
| lightgbm | 4.5.0 | utilitas kilat | 0.11.7 | linkify-it-py | 2.0.0 |
| llvmlite | 0.42.0 | lz4 | 4.3.2 | Mako | 1.2.0 |
| marisa-trie | 1.2.0 | Markdown | 3.4.1 | markdown-it-py | 2.2.0 |
| MarkupSafe | 2.1.3 | matplotlib | 3.8.4 | matplotlib-inline | 0.1.6 |
| Mccabe | 0.7.0 | mdit-py-plugins | 0.3.0 | mdurl | 0.1.0 |
| memray | 1.14.0 | mistune | 2.0.4 | ml-dtypes | 0.4.1 |
| mlflow-skinny | 2.15.1 | more-itertools | 10.3.0 | mosaicml-cli | 0.6.41 |
| mosaicml-streaming | 0.8.0 | mpmath | 1.3.0 | msal | 1.31.0 |
| msal-extensions | 1.2.0 | msgpack | 1.1.0 | multidikat | 6.0.4 |
| multimethod | 1.12 | multiproscess | 0.70.16 | murmurhash | 1.0.10 |
| mypy | 1.10.0 | ekstensi mypy | 1.0.0 | namex | 0.0.8 |
| nbclient | 0.8.0 | nbconvert | 7.10.0 | nbformat | 5.9.2 |
| nest-asyncio | 1.6.0 | networkx | 3.2.1 | ninja | 1.11.1.1 |
| nltk | 3.8.1 | nodeenv | 1.9.1 | buku catatan | 7.0.8 |
| notebook_shim | 0.2.3 | numba | 0.59.1 | numpy | 1.26.4 |
| nvidia-cublas-cu12 | 12.4.2.65 | nvidia-cuda-cupti-cu12 | 12.4.99 | nvidia-cuda-nvrtc-cu12 | 12.4.99 |
| nvidia-cuda-runtime-cu12 | 12.4.99 | nvidia-cudnn-cu12 | 9.1.0.70 | nvidia-cufft-cu12 | 11.2.0.44 |
| nvidia-curand-cu12 | 10.3.5.119 | nvidia-cusolver-cu12 | 11.6.0.99 | nvidia-cusparse-cu12 | 12.3.0.142 |
| nvidia-ml-py | 12.560.30 | nvidia-nccl-cu12 | 2.20.5 | nvidia-nvjitlink-cu12 | 12.4.99 |
| nvidia-nvtx-cu12 | 12.4.99 | oauthlib | 3.2.0 | Oci | 2.135.0 |
| openai | 1.40.2 | opencensus | 0.11.4 | opencensus-context | 0.1.3 |
| opentelemetry-api | 1.27.0 | opentelemetry-sdk | 1.27.0 | opentelemetry-semantic-conventions | 0.48b0 |
| opt_einsum | 3.4.0 | optree | 0.12.1 | optuna | 3.6.1 |
| integrasi optuna | 3.6.0 | orjson | 3.10.7 | Mengabaikan | 7.4.0 |
| packaging | 24.1 | pandas | 1.5.3 | pandocfilters | 1.5.0 |
| paramiko | 3.4.0 | parso | 0.8.3 | pathspec | 0.10.3 |
| patsy | 0.5.6 | pexpect=4.8.0 | 4.8.0 | phik | 0.12.4 |
| pillow | 10.3.0 | pip | 24,2 | platformdir | 3.10.0 |
| plotly | 5.22.0 | pluggy | 1.0.0 | pmdarima | 2.0.4 |
| Anjing | 1.8.2 | portalocker | 2.10.1 | preshed | 3.0.9 |
| prometheus-client | 0.14.1 | prompt-toolkit | 3.0.43 | 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 | 9.0.0 | py-spy | 0.3.14 | pyarrow | 15.0.2 |
| pyarrow-hotfix | 0,6 | pyasn1 | 0.4.8 | pyasn1-modul | 0.2.8 |
| pybind11 | 2.13.6 | pyccolo | 0.0.65 | pycparser | 2.21 |
| pydantic | 2.8.2 | pydantic_core | 2.20.1 | pyflakes | 3.2.0 |
| Pygments | 2.15.1 | PyGObject | 3.48.2 | PyJWT | 2.7.0 |
| PyNaCl | 1.5.0 | pyodbc | 5.0.1 | pyOpenSSL | 24.0.0 |
| pyparsing | 3.0.9 | pyright | 1.1.294 | pytesseract | 0.3.10 |
| python-dateutil | 2.9.0.post0 | python-editor teks | 1.0.4 | python-json-logger | 2.0.7 |
| python-lsp-jsonrpc | 1.1.2 | python-lsp-server | 1.10.0 | python-snappy | 0.6.1 |
| pytoolconfig | 1.2.6 | pytorch-ranger | 0.1.1 | pytz | 2024.1 |
| PyWavelets | 1.5.0 | PyYAML | 6.0.1 | pyzmq | 25.1.2 |
| pertanyaan | 1.10.0 | ikan pari | 2.35.0 | Referensi | 0.30.2 |
| regex | 2023.10.3 | permintaan | 2.32.2 | requests-oauthlib | 1.3.1 |
| rfc3339-validator | 0.1.4 | rfc3986-validator | 0.1.1 | rich | 13.3.5 |
| tali | 1.12.0 | rpds-py | 0.10.6 | rsa | 4.9 |
| ruamel.yaml | 0.18.6 | ruamel.yaml.clib | 0.2.8 | s3transfer | 0.10.2 |
| safetensor | 0.4.4 | scikit-image | 0.23.2 | scikit-learn | 1.4.2 |
| scipy | 1.13.1 | seaborn | 0.13.2 | Send2Trash | 1.8.2 |
| transformator kalimat | 3.0.1 | sentencepiece | 0.2.0 | setuptools | 74.0.0 |
| shap | 0.46.0 | shellingham | 1.5.4 | simplejson | 3.17.6 |
| six | 1.16.0 | slicer | 0.0.8 | smart-open | 5.2.1 |
| smmap | 5.0.0 | sniffio | 1.3.0 | soundfile | 0.12.1 |
| soupsieve | 2.5 | soxr | 0.5.0.post1 | spacy | 3.7.5 |
| spacy-legacy | 3.0.12 | spacy-loggers | 1.0.5 | SQLAlchemy | 2.0.30 |
| sqlparse | 0.4.2 | srsly | 2.4.8 | ssh-import-id | 5.11 |
| stack-data | 0.2.0 | stanio | 0.5.1 | statsmodels | 0.14.2 |
| sympy | 1.12 | tabulate | 0.9.0 | tangled-up-in-unicode | 0.2.0 |
| tenacity | 8.2.2 | tensorboard | 2.17.0 | tensorboard-data-server | 0.7.2 |
| tensorboard-plugin-profile | 2.17.0 | tensorboardX | 2.6.2.2 | tensorflow | 2.18.0 |
| tensorflow-estimator | 2.15.0 | termcolor | 2.4.0 | terminado | 0.17.1 |
| Tekstual | 0.81.0 | tf_keras | 2.17.0 | thinc | 8.2.5 |
| threadpoolctl | 2.2.0 | tifffile | 2023.4.12 | tiktoken | 0.7.0 |
| tinycss2 | 1.2.1 | tokenize-rt | 4.2.1 | tokenizers | 0.19.1 |
| tomli | 2.0.1 | obor | 2.4.0+cu124 | pengoptimal obor | 0.3.0 |
| torcheval | 0.0.7 | torchmetrics | 1.4.0.post0 | torchvision | 0.19.0+cu124 |
| tornado | 6.4.1 | tqdm | 4.66.4 | traitlets=5.0.5 | 5.14.3 |
| Transformer | 4.44.0 | Triton | 3.0.0 | typeguard | 4.3.0 |
| typer | 0.12.5 | type-protobuf | 3.20.3 | type-psutil | 5.9.0 |
| type-pytz | 2023.3.1.1 | type-PyYAML | 6.0.0 | jenis permintaan | 2.31.0.0 |
| type-setuptools | 68.0.0.0 | type-six | 1.16.0 | type-urllib3 | 1.26.25.14 |
| typing_extensions | 4.11.0 | uc-micro-py | 1.0.1 | ujson | 5.10.0 |
| unattended-upgrades | 0.1 | templat uri | 1.3.0 | urllib3 | 1.26.16 |
| validator | 0.34.0 | virtualenv | 20.26.2 | visions | 0.7.5 |
| wadllib | 1.3.6 | wasabi | 1.1.3 | wcwidth | 0.2.5 |
| Musang | 0.4.1 | warna web | 24.8.0 | webencodings=0.5.1 | 0.5.1 |
| websocket-client | 1.8.0 | websocket | 11.0.3 | Werkzeug | 3.0.3 |
| whatthepatch | 1.0.2 | wheel | 0.43.0 | wordcloud | 1.9.3 |
| wrapt | 1.14.1 | xgboost | 2.0.3 | xgboost-ray | 0.1.19 |
| xxhash | 3.4.1 | yapf | 0.33.0 | yarl | 1.9.3 |
| Pembuatan profil ydata | 4.9.0 | zipp | 3.17.0 | zstd | 1.5.5.1 |
Pustaka R
Pustaka R identik dengan Pustaka R di Databricks Runtime 16.0.
Pustaka Java dan Scala (Kluster Scala 2.12)
Selain pustaka Java dan Scala di Databricks Runtime 16.0, Databricks Runtime 16.0 ML berisi JAR berikut:
Kluster CPU
| ID Grup | ID Artefak | Versi |
|---|---|---|
| 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 | 2.15.1 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |
Kluster GPU
| ID Grup | ID Artefak | Versi |
|---|---|---|
| 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 | 2.15.1 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |