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Training data is inadequate. #36

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mdzz2048 opened this issue Sep 8, 2023 · 5 comments · Fixed by #37
Closed

Training data is inadequate. #36

mdzz2048 opened this issue Sep 8, 2023 · 5 comments · Fixed by #37

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@mdzz2048
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mdzz2048 commented Sep 8, 2023 •
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根据叶哥在 这里 的提示，参考该库的标准导出了思源的 复习数据

使用 FSRS-optimizer 报错如下

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这个 issue 里提到”每张卡片的复习数据的第一条的review_state为 0“的有效数据需要大于 100 条，这个文件里的数据应该是达到了这个标准。

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请问我是否哪一步做错了？应该如何解决这个问题？
@L-M-Sherlock
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review_time 必须是毫秒而非秒，否则数据会被过滤掉。

@mdzz2048
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mdzz2048 commented Sep 8, 2023 •
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抱歉，之前没注意，修改后运行报错（上面的文件是更新后的）

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@L-M-Sherlock
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正在定位bug，请稍等待

@L-M-Sherlock L-M-Sherlock linked a pull request Sep 8, 2023 that will close this issue
Fix/sort revlog in create_time_series #37
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@L-M-Sherlock
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修复了，更新一下包试试。

@mdzz2048
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mdzz2048 commented Sep 8, 2023

ok 了，感谢叶哥！

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Fix/sort revlog in create_time_series open-spaced-repetition/fsrs-optimizer
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@L-M-Sherlock @mdzz2048