automl/auto-sklearn

Stress test repeated construction and fitting from same process

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#1,303 建立於 2021年11月17日

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 (3 留言) (0 反應) (0 負責人)Python (7,270 star) (1,265 fork)batch import
Good first issuemaintenance

描述

From issue #1302, it appears autosklearn is a bit unstable when run many times in the same script, i.e. in a for loop.

for i in range(400):
    automodel = AutoSklearn(full_resources)
    automodel.fit(x, y)

We currently have no test for this and it would be good to see if we can reproduce the same connection refused error.

貢獻者指南

技術棧
pythonscikit learn
領域
testingmachine learning
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。
1-3 hours
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。
stale
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
Pythonpytestauto sklearn basics
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
Investigate the connection refused error reported in issue #1302. Review existing test files in the repository, particularly those in the 'test' directory, for patterns on how to write stress tests. Write a test that instantiates and fits AutoSklearn models in a loop (e.g., 400 iterations) to see if the error reproduces. Pay attention to resource cleanup between iterations.