apache/beam

[Task]: Create a script to train sklearn model for IT test.

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#24,903 建立於 2023年1月5日

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 (19 留言) (0 反應) (4 負責人)Java (7,313 star) (4,097 fork)batch import
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描述

What needs to happen?

Sklearn doesn't offer backward compatibility wrt models on newer versions. In the Sklearn IT tests, we use models trained manually and this can get outdated when there is an update to sklearn.

So to tackle this, we need to create a script which trains the sklearn models on the data and then publish this model to a GCS bucket, once this is done we can use this model to run Sklearn IT test.

Issue Priority

Priority: 2 (default / most normal work should be filed as P2)

Issue Components

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  • Component: Typescript SDK
  • Component: IO connector
  • Component: Beam examples
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貢獻者指南

技術棧
pythongcp
領域
testingdevops
議題類型
test
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
active
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
PythonsklearnGCSBeam testing infra
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
60
研究方向
Examine existing IT tests for sklearn models (likely in the Python SDK test directory). Check if there is a GCS bucket already used for test artifacts. The script should load training data, train a model with sklearn, and upload to a designated GCS location. Review comments on issue #24903 for any discussions on implementation details.
[Task]: Create a script to train sklearn model for IT test. · apache/beam#24903 | Good First Issue