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一分钟完成验证Worked, deployable examples for Ubunye Engine — ingestion and ML on Databricks
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Worked, deployable pipelines for Ubunye Engine.
Every one of them runs on Databricks, deploys as a Databricks Asset Bundle, and
reads data that already exists in your workspace — nothing to upload, no API keys,
no cloud storage to configure.
They install the engine from PyPI (ubunye-engine==0.3.0), so what you run here is
what you get from pip install — not some unreleased branch.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Worked, deployable pipelines for Ubunye Engine.
Every one of them runs on Databricks, deploys as a Databricks Asset Bundle, and
reads data that already exists in your workspace — nothing to upload, no API keys,
no cloud storage to configure.
They install the engine from PyPI (ubunye-engine==0.3.0), so what you run here is
what you get from pip install — not some unreleased branch.查看完整 README ↗