Databricks Runtime 11.1 untuk Pembelajaran Mesin (EoS)
Catatan
Dukungan untuk versi Databricks Runtime ini telah berakhir. Untuk tanggal akhir dukungan, lihat Riwayat akhir dukungan. Untuk semua versi Runtime Databricks yang didukung, lihat Versi dan kompatibilitas catatan rilis Databricks Runtime.
Databricks Runtime 11.1 untuk Pembelajaran Mesin menyediakan lingkungan siap pakai untuk pembelajaran mesin dan ilmu data berdasarkan Databricks Runtime 11.1 (EoS). 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 menggunakan Horovod.
Untuk informasi selengkapnya, termasuk instruksi untuk membuat kluster ML Runtime Databricks, lihat AI dan pembelajaran mesin di Databricks.
Fitur dan peningkatan baru
Databricks Runtime 11.1 ML dibangun di atas Databricks Runtime 11.1. Untuk informasi tentang apa yang baru di Databricks Runtime 11.1, termasuk Apache Spark MLlib dan SparkR, lihat catatan rilis Databricks Runtime 11.1 (EoS).
Penyempurnaan automl
Penyempurnaan berikut telah dilakukan pada AutoML.
- Ketika AutoML mendeteksi bahwa masalah klasifikasi adalah biner, AutoML menghitung metrik klasifikasi biner dan menyimpulkan kelas positif masalah. Anda juga dapat menentukan kelas positif menggunakan parameter baru
pos_label. Untuk detailnya, lihat Referensi API Python AutoML. - Untuk masalah peramalan, AutoML sekarang dapat menangani skenario di mana cakrawala peramalan lebih panjang dibandingkan dengan rentang waktu data pelatihan.
Peningkatan ke Penyimpanan Fitur Databricks
Peningkatan berikut telah dilakukan ke Penyimpanan Fitur Databricks.
- Sekarang Anda dapat memperbarui sumber data tabel fitur secara manual dengan menggunakan API Python Penyimpanan Fitur.
- Sekarang Anda dapat menerbitkan tabel fitur offline ke Azure Cosmos DB untuk pencarian online latensi rendah. Lihat Menerbitkan fitur ke toko online dan Menerbitkan fitur rangkaian waktu ke toko online.
Lingkungan sistem
Lingkungan sistem di Databricks Runtime 11.1 ML berbeda dari Databricks Runtime 11.1 sebagai berikut:
-
DBUtils: Databricks Runtime ML tidak menyertakan utilitas Pustaka (dbutils.library) (warisan).
Gunakan perintah
%pipsaja. Lihat Pustaka Python cakupan buku catatan. - Untuk kluster GPU, Databricks Runtime ML menyertakan pustaka GPU NVIDIA berikut:
- CUDA 11.3
- cuDNN 8.0.5.39
- NCCL 2.9.9
- TensorRT 7.2.2
Pustaka
Bagian berikut mencantumkan pustaka yang disertakan dalam Databricks Runtime 11.1 ML yang berbeda dari yang disertakan dalam Databricks Runtime 11.1.
Di bagian ini:
Pustaka tingkat atas
Databricks Runtime 11.1 ML menyertakan pustaka tingkat atas berikut:
- GraphFrames
- Horovod dan HorovodRunner
- MLflow
- PyTorch
- spark-tensorflow-connector
- TensorFlow 2.5.0
- TensorBoard
Pustaka Python
Databricks Runtime 11.1 ML menggunakan Virtualenv untuk manajemen paket Python dan mencakup banyak paket ML populer.
Selain paket yang ditentukan di bagian berikut, Databricks Runtime 11.1 ML juga mencakup paket berikut:
- hyperopt 0.2.7.db1
- sparkdl 2.2.0-db6
- feature_store 0.5.0
- automl 1.11.0
Pustaka Phyton di kluster CPU
| Pustaka | Versi | Pustaka | Versi | Pustaka | Versi |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | Antergos Linux | 2015.10 (ISO-Rolling) | argon2-cffi | 20.1.0 |
| astor | 0.8.1 | astunparse | 1.6.3 | async-generator | 1.10 |
| attrs | 21.2.0 | azure-core | 1.22.1 | azure-cosmos | 4.2.0 |
| backcall | 0.2.0 | backports.entry-points-selectable | 1.1.1 | bcrypt | 3.2.2 |
| pemutih | 4.0.0 | blis | 0.7.8 | boto3 | 1.21.18 |
| botocore | 1.24.18 | cachetools | 5.2.0 | catalogue | 2.0.7 |
| certifi | 2021.10.8 | cffi | 1.14.6 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | klik | 8.0.3 | cloudpickle | 2.0.0 |
| cmdstanpy | 0.9.68 | configparser | 5.2.0 | convertdate | 2.4.0 |
| cryptography | 3.4.8 | cycler | 0.10.0 | cymem | 2.0.6 |
| Cython | 0.29.24 | databricks-automl-runtime | 0.2.9.1 | databricks-cli | 0.16.8 |
| dbl-tempo | 0.1.12 | dbus-python | 1.2.16 | debugpy | 1.4.1 |
| decorator | 5.1.0 | defusedxml | 0.7.1 | dill | 0.3.4 |
| diskcache | 5.4.0 | distlib | 0.3.4 | distro-info | 0.23ubuntu1 |
| titik masuk | 0,3 | ephem | 4.1.3 | facets-overview | 1.0.0 |
| fasttext | 0.9.2 | filelock | 3.3.1 | Flask | 1.1.2 |
| flatbuffers | 1.12 | fsspec | 2021.8.1 | future | 0.18.2 |
| gast | 0.4.0 | gitdb | 4.0.9 | GitPython | 3.1.27 |
| google-auth | 2.6.0 | google-auth-oauthlib | 0.4.6 | google-pasta | 0.2.0 |
| grpcio | 1.44.0 | gunicorn==19.9.0 | 20.1.0 | gviz-api | 1.10.0 |
| h5py | 3.3.0 | hijri-converter | 2.2.4 | hari libur | 0.14.2 |
| Horovod | 0.24.3 | htmlmin | 0.1.12 | huggingface-hub | 0.8.1 |
| idna | 3.2 | ImageHash | 4.2.1 | imbalanced-learn | 0.8.1 |
| importlib-metadata | 4.8.1 | ipykernel | 6.12.1 | ipython | 7.32.0 |
| ipython-genutils | 0.2.0 | ipywidgets | 7.7.0 | isodate | 0.6.1 |
| itsdangerous | 2.0.1 | jedi | 0.18.0 | Jinja2 | 2.11.3 |
| jmespath | 0.10.0 | joblib | 1.0.1 | joblibspark | 0.5.0 |
| jsonschema | 3.2.0 | jupyter-client | 6.1.12 | jupyter-core | 4.8.1 |
| jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 | keras | 2.9.0 |
| Keras-Preprocessing | 1.1.2 | kiwisolver | 1.3.1 | korean-lunar-calendar | 0.2.1 |
| langcodes | 3.3.0 | libclang | 14.0.1 | lightgbm | 3.3.2 |
| llvmlite | 0.38.1 | LunarCalendar | 0.0.9 | Mako | 1.2.0 |
| Markdown | 3.3.6 | MarkupSafe | 2.0.1 | matplotlib | 3.4.3 |
| matplotlib-inline | 0.1.2 | missingno | 0.5.1 | mistune | 0.8.4 |
| mleap | 0.20.0 | mlflow-skinny | 1.27.0 | multimethod | 1.8 |
| murmurhash | 1.0.7 | nbclient | 0.5.3 | nbconvert | 6.1.0 |
| nbformat | 5.1.3 | nest-asyncio | 1.5.1 | networkx | 2.6.3 |
| nltk | 3.6.5 | buku catatan | 6.4.5 | numba | 0.55.2 |
| numpy | 1.20.3 | oauthlib | 3.2.0 | opt-einsum | 3.3.0 |
| packaging | 21.0 | pandas | 1.3.4 | pandas-profiling | 3.1.0 |
| pandocfilters | 1.4.3 | paramiko | 2.9.2 | parso | 0.8.2 |
| pathy | 0.6.2 | patsy | 0.5.2 | petastorm | 0.11.4 |
| pexpect=4.8.0 | 4.8.0 | phik | 0.12.2 | pickleshare | 0.7.5 |
| Pillow | 8.4.0 | pip | 21.2.4 | platformdir | 2.5.2 |
| plotly | 5.8.2 | pmdarima | 1.8.5 | preshed | 3.0.6 |
| prometheus-client | 0.11.0 | prompt-toolkit | 3.0.20 | prophet | 1.0.1 |
| protobuf | 3.19.4 | psutil | 5.8.0 | psycopg2 | 2.9.3 |
| ptyprocess | 0.7.0 | pyarrow | 7.0.0 | pyasn1 | 0.4.8 |
| pyasn1-modul | 0.2.8 | pybind11 | 2.9.2 | pycparser | 2,20 |
| pydantic | 1.8.2 | Pygments | 2.10.0 | PyGObject | 3.36.0 |
| PyJWT | 2.4.0 | PyMeeus | 0.5.11 | PyNaCl | 1.5.0 |
| pyodbc | 4.0.31 | pyparsing | 3.0.4 | pyrsistent | 0.18.0 |
| pystan | 2.19.1.1 | python-apt | 2.0.0+ubuntu0.20.4.7 | python-dateutil | 2.8.2 |
| python-editor teks | 1.0.4 | pytz | 2021.3 | PyWavelets | 1.1.1 |
| PyYAML | 6.0 | pyzmq | 22.2.1 | regex | 2021.8.3 |
| permintaan | 2.26.0 | requests-oauthlib | 1.3.1 | requests-unixsocket | 0.2.0 |
| rsa | 4.8 | s3transfer | 0.5.2 | scikit-learn | 0.24.2 |
| scipy | 1.7.1 | seaborn | 0.11.2 | Send2Trash | 1.8.0 |
| setuptools | 58.0.4 | setuptools-git | 1.2 | shap | 0.40.0 |
| simplejson | 3.17.6 | six | 1.16.0 | slicer | 0.0.7 |
| smart-open | 5.2.1 | smmap | 5.0.0 | spacy | 3.3.1 |
| spacy-legacy | 3.0.9 | spacy-loggers | 1.0.2 | spark-tensorflow-distributor | 1.0.0 |
| sqlparse | 0.4.2 | srsly | 2.4.3 | ssh-import-id | 5.10 |
| statsmodels | 0.12.2 | tabulate | 0.8.9 | tangled-up-in-unicode | 0.1.0 |
| tenacity | 8.0.1 | tensorboard | 2.9.1 | tensorboard-data-server | 0.6.1 |
| tensorboard-plugin-profile | 2.8.0 | tensorboard-plugin-wit | 1.8.1 | tensorflow-cpu | 2.9.1 |
| tensorflow-estimator | 2.9.0 | tensorflow-io-gcs-filesystem | 0.26.0 | termcolor | 1.1.0 |
| terminado | 0.9.4 | testpath | 0.5.0 | thinc | 8.0.17 |
| threadpoolctl | 2.2.0 | tokenizers | 0.12.1 | obor | 1.11.0+cpu |
| torchvision | 0.12.0+cpu | tornado | 6.1 | tqdm | 4.62.3 |
| traitlets=5.0.5 | 5.1.0 | Transformer | 4.20.0 | typer | 0.4.2 |
| typing-extensions | 3.10.0.2 | ujson | 4.0.2 | unattended-upgrades | 0.1 |
| urllib3 | 1.26.7 | virtualenv | 20.8.0 | visions | 0.7.4 |
| wasabi | 0.9.1 | wcwidth | 0.2.5 | webencodings=0.5.1 | 0.5.1 |
| websocket-client | 1.3.1 | Werkzeug | 2.0.2 | wheel | 0.37.0 |
| widgetsnbextension | 3.6.0 | wrapt | 1.12.1 | xgboost | 1.5.2 |
| zipp | 3.6.0 |
Pustaka Phyton di kluster GPU
| Pustaka | Versi | Pustaka | Versi | Pustaka | Versi |
|---|---|---|---|---|---|
| absl-py | 1.0.0 | Antergos Linux | 2015.10 (ISO-Rolling) | argon2-cffi | 20.1.0 |
| astor | 0.8.1 | astunparse | 1.6.3 | async-generator | 1.10 |
| attrs | 21.2.0 | azure-core | 1.22.1 | azure-cosmos | 4.2.0 |
| backcall | 0.2.0 | backports.entry-points-selectable | 1.1.1 | bcrypt | 3.2.2 |
| pemutih | 4.0.0 | blis | 0.7.8 | boto3 | 1.21.18 |
| botocore | 1.24.18 | cachetools | 5.2.0 | catalogue | 2.0.7 |
| certifi | 2021.10.8 | cffi | 1.14.6 | chardet | 4.0.0 |
| charset-normalizer | 2.0.4 | klik | 8.0.3 | cloudpickle | 2.0.0 |
| cmdstanpy | 0.9.68 | configparser | 5.2.0 | convertdate | 2.4.0 |
| cryptography | 3.4.8 | cycler | 0.10.0 | cymem | 2.0.6 |
| Cython | 0.29.24 | databricks-automl-runtime | 0.2.9.1 | databricks-cli | 0.16.8 |
| dbl-tempo | 0.1.12 | dbus-python | 1.2.16 | debugpy | 1.4.1 |
| decorator | 5.1.0 | defusedxml | 0.7.1 | dill | 0.3.4 |
| diskcache | 5.4.0 | distlib | 0.3.4 | distro-info | 0.23ubuntu1 |
| titik masuk | 0,3 | ephem | 4.1.3 | facets-overview | 1.0.0 |
| fasttext | 0.9.2 | filelock | 3.3.1 | Flask | 1.1.2 |
| flatbuffers | 1.12 | fsspec | 2021.8.1 | future | 0.18.2 |
| gast | 0.4.0 | gitdb | 4.0.9 | GitPython | 3.1.27 |
| google-auth | 2.6.0 | google-auth-oauthlib | 0.4.6 | google-pasta | 0.2.0 |
| grpcio | 1.44.0 | gunicorn==19.9.0 | 20.1.0 | gviz-api | 1.10.0 |
| h5py | 3.3.0 | hijri-converter | 2.2.4 | hari libur | 0.14.2 |
| Horovod | 0.24.3 | htmlmin | 0.1.12 | huggingface-hub | 0.8.1 |
| idna | 3.2 | ImageHash | 4.2.1 | imbalanced-learn | 0.8.1 |
| importlib-metadata | 4.8.1 | ipykernel | 6.12.1 | ipython | 7.32.0 |
| ipython-genutils | 0.2.0 | ipywidgets | 7.7.0 | isodate | 0.6.1 |
| itsdangerous | 2.0.1 | jedi | 0.18.0 | Jinja2 | 2.11.3 |
| jmespath | 0.10.0 | joblib | 1.0.1 | joblibspark | 0.5.0 |
| jsonschema | 3.2.0 | jupyter-client | 6.1.12 | jupyter-core | 4.8.1 |
| jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 | keras | 2.9.0 |
| Keras-Preprocessing | 1.1.2 | kiwisolver | 1.3.1 | korean-lunar-calendar | 0.2.1 |
| langcodes | 3.3.0 | libclang | 14.0.1 | lightgbm | 3.3.2 |
| llvmlite | 0.38.1 | LunarCalendar | 0.0.9 | Mako | 1.2.0 |
| Markdown | 3.3.6 | MarkupSafe | 2.0.1 | matplotlib | 3.4.3 |
| matplotlib-inline | 0.1.2 | missingno | 0.5.1 | mistune | 0.8.4 |
| mleap | 0.20.0 | mlflow-skinny | 1.27.0 | multimethod | 1.8 |
| murmurhash | 1.0.7 | nbclient | 0.5.3 | nbconvert | 6.1.0 |
| nbformat | 5.1.3 | nest-asyncio | 1.5.1 | networkx | 2.6.3 |
| nltk | 3.6.5 | buku catatan | 6.4.5 | numba | 0.55.2 |
| numpy | 1.20.3 | oauthlib | 3.2.0 | opt-einsum | 3.3.0 |
| packaging | 21.0 | pandas | 1.3.4 | pandas-profiling | 3.1.0 |
| pandocfilters | 1.4.3 | paramiko | 2.9.2 | parso | 0.8.2 |
| pathy | 0.6.2 | patsy | 0.5.2 | petastorm | 0.11.4 |
| pexpect=4.8.0 | 4.8.0 | phik | 0.12.2 | pickleshare | 0.7.5 |
| Pillow | 8.4.0 | pip | 21.2.4 | platformdir | 2.5.2 |
| plotly | 5.8.2 | pmdarima | 1.8.5 | preshed | 3.0.6 |
| prompt-toolkit | 3.0.20 | prophet | 1.0.1 | protobuf | 3.19.4 |
| psutil | 5.8.0 | psycopg2 | 2.9.3 | ptyprocess | 0.7.0 |
| pyarrow | 7.0.0 | pyasn1 | 0.4.8 | pyasn1-modul | 0.2.8 |
| pybind11 | 2.9.2 | pycparser | 2,20 | pydantic | 1.8.2 |
| Pygments | 2.10.0 | PyGObject | 3.36.0 | PyJWT | 2.4.0 |
| PyMeeus | 0.5.11 | PyNaCl | 1.5.0 | pyodbc | 4.0.31 |
| pyparsing | 3.0.4 | pyrsistent | 0.18.0 | pystan | 2.19.1.1 |
| python-apt | 2.0.0+ubuntu0.20.4.7 | python-dateutil | 2.8.2 | python-editor teks | 1.0.4 |
| pytz | 2021.3 | PyWavelets | 1.1.1 | PyYAML | 6.0 |
| pyzmq | 22.2.1 | regex | 2021.8.3 | permintaan | 2.26.0 |
| requests-oauthlib | 1.3.1 | requests-unixsocket | 0.2.0 | rsa | 4.8 |
| s3transfer | 0.5.2 | scikit-learn | 0.24.2 | scipy | 1.7.1 |
| seaborn | 0.11.2 | Send2Trash | 1.8.0 | setuptools | 58.0.4 |
| setuptools-git | 1.2 | shap | 0.40.0 | simplejson | 3.17.6 |
| six | 1.16.0 | slicer | 0.0.7 | smart-open | 5.2.1 |
| smmap | 5.0.0 | spacy | 3.3.1 | spacy-legacy | 3.0.9 |
| spacy-loggers | 1.0.2 | spark-tensorflow-distributor | 1.0.0 | sqlparse | 0.4.2 |
| srsly | 2.4.3 | ssh-import-id | 5.10 | statsmodels | 0.12.2 |
| tabulate | 0.8.9 | tangled-up-in-unicode | 0.1.0 | tenacity | 8.0.1 |
| tensorboard | 2.9.1 | tensorboard-data-server | 0.6.1 | tensorboard-plugin-profile | 2.8.0 |
| tensorboard-plugin-wit | 1.8.1 | tensorflow | 2.9.1 | tensorflow-estimator | 2.9.0 |
| tensorflow-io-gcs-filesystem | 0.26.0 | termcolor | 1.1.0 | terminado | 0.9.4 |
| testpath | 0.5.0 | thinc | 8.0.17 | threadpoolctl | 2.2.0 |
| tokenizers | 0.12.1 | obor | 1.11.0+cu113 | torchvision | 0.12.0+cu113 |
| tornado | 6.1 | tqdm | 4.62.3 | traitlets=5.0.5 | 5.1.0 |
| Transformer | 4.20.0 | typer | 0.4.2 | typing-extensions | 3.10.0.2 |
| ujson | 4.0.2 | unattended-upgrades | 0.1 | urllib3 | 1.26.7 |
| virtualenv | 20.8.0 | visions | 0.7.4 | wasabi | 0.9.1 |
| wcwidth | 0.2.5 | webencodings=0.5.1 | 0.5.1 | websocket-client | 1.3.1 |
| Werkzeug | 2.0.2 | wheel | 0.37.0 | widgetsnbextension | 3.6.0 |
| wrapt | 1.12.1 | xgboost | 1.5.2 | zipp | 3.6.0 |
Paket Spark yang berisi modul Python
| Paket Spark | Modul Python | Versi |
|---|---|---|
| graphframes | graphframes | 0.8.2-db1-spark3.2 |
Pustaka R
Pustaka R identik dengan Pustaka R di Databricks Runtime 11.1.
Pustaka Java dan Scala (Kluster Scala 2.12)
Selain pustaka Java dan Scala di Databricks Runtime 11.1, Databricks Runtime 11.1 ML berisi JAR berikut:
Kluster CPU
| ID Grup | ID Artefak | Versi |
|---|---|---|
| com.typesafe.akka | akka-actor_2.12 | 2.5.23 |
| ml.combust.mleap | mleap-databricks-runtime_2.12 | 0.20.0-db1 |
| ml.dmlc | xgboost4j-spark_2.12 | 1.5.2 |
| ml.dmlc | xgboost4j_2.12 | 1.5.2 |
| org.graphframes | graphframes_2.12 | 0.8.2-db1-spark3.2 |
| org.mlflow | mlflow-client | 1.27.0 |
| org.mlflow | mlflow-spark | 1.27.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| 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.combust.mleap | mleap-databricks-runtime_2.12 | 0.20.0-db1 |
| ml.dmlc | xgboost4j-spark_2.12 | 1.5.2 |
| ml.dmlc | xgboost4j_2.12 | 1.5.2 |
| org.graphframes | graphframes_2.12 | 0.8.2-db1-spark3.2 |
| org.mlflow | mlflow-client | 1.27.0 |
| org.mlflow | mlflow-spark | 1.27.0 |
| org.scala-lang.modules | scala-java8-compat_2.12 | 0.8.0 |
| org.tensorflow | spark-tensorflow-connector_2.12 | 1.15.0 |