Comments (6)
Update the parameters once a month is enough. For long-term study, there is no need to reschedule all cards. Only reschedule all cards when you want to achieve your desired retention as soon as possible.
from fsrs4anki.
- "Reschedule all cards" should be used only after updating the parameters or desired retention. However, you can use "reschedule cards reviewed in last x days" daily if you want to use load balancing. In this case, I recommend setting a low value of x (such as 1, 2 or 3) in the add-on config so that you don't unnecessarily reschedule cards multiple times.
- You should update the parameters only after you have done at least 4000 reviews since the last optimization. For example, if you do 100 cards each day, re-optimize not earlier than 40 days after the last optimization. Otherwise, chances are high that you will get worse parameters after optimization.
For future questions, please use Anki Forums (https://forums.ankiweb.net/).
from fsrs4anki.
Thanks for the prompt answer. I'd like to ask one follow-up, why does it matter that you've done 4k reviews since last optimization? Doesn't it look at the entire histroy of reviews? curious how the optimization parameters could get "worse"
from fsrs4anki.
The optimizer can't guarantee that it finds the "best" set of parameters, though it can find one of the best ones. So, if you optimize again after a short time, there are chances that the new set of parameters is worse than the previous one.
If you re-optimize after doing a lot of reviews, the chances of getting better parameters increases. The 4000 reviews is an experimentally obtained threshold beyond which the likelihood of getting better parameters is high.
In addition, it seems that there is some systemic problem with the latest version of Anki that is increasing the chances of getting worse parameters on re-optimization. We are not yet sure what the problem is.
For more discussion, refer to the forum post: https://forums.ankiweb.net/t/measures-to-prevent-new-fsrs-parameters-from-being-worse-than-the-old-ones/38957
from fsrs4anki.
@user1823 I accidently and part curiously did optimize the parameters twice in one day (when I started using fsrs). what should I do now or if there is anything I can do to mitigate some of the harm I've done?
from fsrs4anki.
@brishtibheja The chances of the new parameters being worse are not because you optimized after a short time, but because the result is kind of fuzzy, so if there is no much change, it might end up a little below the average quality. Usually it's just a waste of time to optimize too often.
from fsrs4anki.
Related Issues (20)
- [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
- [BUG]: Intervals don't update after changing Desired Retention HOT 12
- [BUG] "Ignore reviews before" Not Working HOT 31
- [Feature Request] Uneasy day
- [Feature Request] Decreasing load balance
- [Question] Wiki—post-lapse stability example parameter inconsistency? HOT 1
- [Question] Do the stability and difficulty not change when the card is in `Learning` state? HOT 1
- [Question] HOT 3
- [Question] Confusion about short term scheduling HOT 10
- Improve Handling of 'Set due date' HOT 45
- [Question] HOT 5
- [Question] Very long initial intervals when using multiple card types HOT 3
- [Other] Let's use the FSRS Simulator to figure out how to implement Load Balancer HOT 59
- 这样是不是可以使用v5了? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from fsrs4anki.