Comments (4)
Could you maybe check if this was fixed with #437? I think we haven't made a release since that PR, but you can install from master here.
E: If I understand correctly, you implemented exactly what the PR does. Could it be that you have simply found the maximum?
Sorry, I am on my phone, so I can't run anything currently.
from bayesianoptimization.
Hi, I checked and the commit that was fixed in #437 was exactly what I tested too in my local env.
Ideally, I would want the algorithm itself to detect if such maximum has been found and terminate the program.
Perhaps I should raise another ticket for this?
from bayesianoptimization.
Something like this has also been raised in #381. I'm still of the opinion I expressed there, i.e. that .maximize
should be kept simple and that we should leave these things to the user (see #373 for how to do this). OTOH I know that other people disagree with me here and I would be open to adding it, generally speaking.
from bayesianoptimization.
I could see such automatic detection become very useful for problems with expensive evaluation.
Anyway, I'll close this ticket as it will be fixed in the next release (I presume). Thanks for answering!
from bayesianoptimization.
Related Issues (20)
- Save optimizer state and load again in the Suggest-Evaluate-Register Paradigm HOT 1
- Replace custom colour implementation with colorama colours HOT 1
- Constrained optimization does not allow duplicate points HOT 3
- JSONLogger bug in Basic Tour example HOT 2
- Implement `gp_hedge` acquisition function HOT 10
- support multiple parameters HOT 2
- Values outside pbounds HOT 7
- How to specify pbounds when there are no variable names per se HOT 7
- Make n_restarts_optimizer dynamic HOT 2
- pbounds step size HOT 2
- Manually provide observed samples as init points HOT 2
- Pass *args, *kwargs as non-optimized arguments to the cost function HOT 3
- Verbose=2 doesn't work in terminal or bash HOT 1
- 'str object has no attribute reproduce' HOT 5
- add supported python versions badge to readme HOT 1
- [Question] can I use ML model as a black_box function? HOT 2
- random_state not working as expected when using constraints HOT 4
- How to use specific init_points HOT 3
- Move `static` inside `docsrc` 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 bayesianoptimization.