Comments (2)
tkonopka
commented on May 11, 2024
Hi @umasstr. Yes, the output is supposed to be an S3 object. If you are getting a matrix, is it possible that you loaded package uwot after loading package umap? (Package uwot performs dimensional reduction in a similar way, but it has slightly different features and API.) If that's the case, and if you want to keep using both packages in the same R session, you can still run umap from this package by calling umap::umap(b).
from umap.
umasstr
commented on May 11, 2024
Wow, I wouldn't have thought of that. All set—runs quickly and without error or warning.
Thanks, and happy holidays!
from umap.
Related Issues (20)
- predict() on a umap object with n_components=1 gets two errors -- Looks like missing drop=F HOT 2
- Failed creating initial embedding; using random embedding instead HOT 3
- Intel MKL FATAL ERROR HOT 3
- Differences with Python version? HOT 4
- Add support for umap-learn 0.5 HOT 4
- Sparse Matrix support HOT 4
- is there any spark version implementations? HOT 2
- missing value where TRUE/FALSE needed HOT 3
- Problem with using custom metric HOT 2
- method = "python" does not work HOT 1
- when random_state is set automatically in config, it is not sufficient for reproducibility HOT 1
- Citing the package HOT 1
- Type error in optimize_embedding HOT 3
- transforming new data to an embedding HOT 3
- Error with n_components=1 HOT 3
- Number of threads HOT 3
- Allow for supervised/semi-supervised dimension reduction with labels HOT 1
- min_dist not updating with Python backend HOT 3
- predict() generates different predictions if called with multiple points at once versus called with each point individually HOT 7
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 umap.