Updated default parameters.
https://github.com/open-spaced-repetition/fsrs4anki/releases/tag/v6.1.1
Category: FSRS
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“Recency weighting makes FSRS pay less attention to older reviews and more attention to recent (newer) reviews.
In this version the handling of same-day reviews was improved. More importantly, the shape of the forgetting is now different for different users (introduced in Anki 25.05).”
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In this case I used the CLI command line to try the pull request number #3953 of Anki repository that adds a Toggle Sidebar functionality.
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Recency weighting makes FSRS pay less attention to old reviews and more attention to recent (newer) reviews.
Source: https://imgur.com/a/calibration-of-different-fsrs-versions-KfJ32EV
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It adds a future projection, although the vertical line has been removed for the sake of simplicity.
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It looks nice !
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Original motivation:
“card.card_stats_data() became slow after Feat/forgetting curve in card info by L-M-Sherlock · Pull Request #3437 · ankitects/anki · GitHub because it computes the memory state for each revlog. For card with 40+ revlogs, it costs ~400ms to return the result. It’s not perceivable when opening the card info page. But it slows down add-ons which use card_stats_data() to get the revlogs of thoustands of cards significantly.”
Of course it would be preferable to refactor the existing calculation method while reducing the computational complexity to O(n).
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Solution:
- Delete FSRS parameters in AnkiDroid
- Optimize on AnkiDroid
- Synchronize
- Optimize in Anki Desktop
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First beta version since June is available. Enjoy 🙂
/root 