apache/beam

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

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#24,903 opened on 2023年1月5日

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P2good first issuepythonrun-inferencetask

説明

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 In the Sklearn IT tests, we use models trained manually and this can get outdated when there is an update to sklearn.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)

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コントリビューターガイド

技術スタック
pythongcp
領域
testingdevops
Issue 種別
test
難度新しい貢献者にとっての実装難度です。1 は非常に小さな変更、5 は専門的な作業です。
3
推定時間経験ある貢献者が調査、実装、テスト、pull request 準備にかけるおおよその時間範囲です。
1-2 days
活動状況Issue が今どれだけ取り組みやすいかを示します。新しい、活発、古い、ブロック中、またはメンテナー入力待ちなどです。
active
明確さ期待される変更、受け入れ条件、次の手順がどれだけ明確かを示します。
clear
前提条件
PythonsklearnGCSBeam testing infra
初心者向け度初回貢献者にどれだけ取り組みやすいかを 1-100 で推定したスコアです。
60
調査方針
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