Comments (3)
Thanks for the report.
In principle, it should be possible to use n_components=1. For example, it works on the iris dataset.
umap(iris[,1:4], n_components=1)
outputs
umap embedding of 150 items in 1 dimensions
object components: layout, data, knn, config
However, there are indeed cases where things break. For example,
umap(iris[1:5,1:4], n_neighbors=3, n_components=1)
outputs an error. I'll post an update...
from umap.
Posted an update that fixes the bug (at least with the example with the iris dataset).
from umap.
I'll take it the patch resolves the original question. But please re-open the issue if you encounter further issues.
Thanks again for reporting the bug.
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
- umap() produces matrix instead of S3 object 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
- 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.