Comments (23)
Never mind found it.
😂, there's high ping in Chinese network. I have just seen this comment.
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Yep, I finally found it before you posted this screenshot, but still, thanks a lot. So I guess I'd better to re-generate all my parameters right in v1.4.0 right?
Yes, it's improved. And you need use it with the newest FSRS4Anki scheduler.
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I really appreciate your help, but sleep is very important. Please don't worry about this thing, it's not emergency.
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Seemed to be working, thanks.
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Can you use the latest version? Or give the output of this cell.
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Correct me if I'm missing anything, but I thought the page on Google Colab is the one I'm supposed to use, and should be the latest one?
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The latest version of optimizer is v1.4.0, and you can find it in current main branch.
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Sorry so did you mean that you haven't deployed it to Google Colab?
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Sorry so did you mean that you haven't deployed it to Google Colab?
You can click the button Open in Colab
to deploy it.
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Sorry this is my first time using Google Colab, and therefore I'm so confused. So what optimizer was I running, and where did it come from?
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Sorry this is my first time using Google Colab, and therefore I'm so confused. So what optimizer was I running, and where did it come from?
You can paste the link of your colab page, or the version in the first cell of notebook.
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I can't find the Open in Colab
button.
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Never mind found it.
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Open this link,
https://github.com/open-spaced-repetition/fsrs4anki/blob/main/fsrs4anki_optimizer.ipynb
In my screen, there is a open in Colab
button.
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Yep, I finally found it before you posted this screenshot, but still, thanks a lot. So I guess I'd better to re-generate all my parameters right in v1.4.0 right?
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Running version 1.4.0 with the same file still failed, please check the screenshot.
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Are there only nine review logs?
You can set print_len
= 1. But I think it need more logs.
I will fix it in next patch.
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There were only there cards in this deck with 16 review history in total.
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You can fix it by replacing print_len = dataset.shape[0] // 10
with print_len = max(dataset.shape[0] // 10, 1)
.
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After your suggested change, it didn't fail out, but the parameters didn't get printed out.
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It's so late in China now man, you are so diligent!
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Can you test it?
https://colab.research.google.com/github/open-spaced-repetition/fsrs4anki/blob/v1.4.3/fsrs4anki_optimizer.ipynb
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Related Issues (20)
- [Feature Request] Improve Learning/Relearning Scheduling HOT 10
- [BUG] Hard interval is longer than Good interval, and longer than Max interval HOT 1
- [BUG] optimizer.find_optimal_retention: ValueError: Axis limits cannot be NaN or Inf HOT 4
- FSRS Simulator File Not a Zip File [BUG] HOT 7
- [Question]only use "Again" or "Hard" HOT 17
- [Feature Request] Change scheduling based on the type of card used HOT 8
- [BUG] List of compatible add-ons (update)
- [Question] Does review records affecte the parameters when I reset old cards to new cards HOT 2
- [Feature Request] Change to difficulty on new cards HOT 3
- [Question] Not graduating cards the same day affects scheduling? HOT 3
- [Question] Who should NOT use fsrs4anki / the limits to generalization are in the training set HOT 3
- [Question] I haven't used Anki for a while HOT 1
- [Question] Date change HOT 6
- [Question] Does fsrs deals well with cramming HOT 1
- [Question] HOT 21
- Optimiser Stops Working After a Single Review HOT 23
- [Question]: Questions regarding Optimisation HOT 3
- [Question] Should I use a low value produced by optimal retention (75%)? HOT 6
- [Question] Can FSRS schedule intervals shorter than a day? HOT 8
- [Question] What is the correct way to determine the card state (New, Learning, Review, Relearning) when implementing the algorythm separately from Anki? HOT 2
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