Comments (2)
Oh yes looks like I missed the in-built precomputed class. Works for me.
Although I am sure you are not looking for API suggestions, maybe you could allow the neighbors
parameter on the TSNE
constructor to take a tuple containing the indices and distances and then either create the affinities via the perplexity parameter, or use the Uniform
version if the perplexity=None
?
Anyway, thank you for the help.
from opentsne.
Hey, I think this is currently the only approach that would work. Your dummy class is actually included here, and I think it has already been released (it's been a while since I looked at this).
It's a convoluted solution, I know, but currently the only supported one. I need to return to this and think about how I would allow something like the standard metric="precomputed"
without cluttering the API further.
from opentsne.
Related Issues (20)
- `latest` version of ReadTheDocs not rendering Python code HOT 4
- Switching spectral initialization to sklean.manifold.SpectralEmbeddings HOT 14
- Adding tiny amount of noise to PCA/spectral init to prevent points from overlapping
- Tutorials do not show ipynb code HOT 2
- Bug: running optimize() multiple times produces different result compared to running it once HOT 3
- Failed to install from source HOT 3
- Extend openTSNE to specific purposes HOT 4
- Barnes-Hut optimization with the default learning rate collapses on small datasets HOT 4
- Tests fail: ImportError: attempted relative import with no known parent package HOT 7
- Negative reported KL divergence for dof>1 HOT 4
- Unable to use custom callable metric HOT 2
- process crashes when /tmp gets full HOT 2
- Question about SGD method used HOT 2
- [Windows] saving/loading TSNEEmbedding objects to pickle, Directory error HOT 6
- Test failure on i386 HOT 9
- Cannot install on Mac M1 HOT 1
- `utils` import error in example notebooks HOT 1
- Problem with data from CSV file HOT 7
- Question on initialization HOT 4
- import errer 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 opentsne.