<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>jpvdp.r-universe.dev</title><link>https://jpvdp.r-universe.dev</link><description>Recent package updates in jpvdp</description><generator>R-universe</generator><image><url>https://github.com/jpvdp.png</url><title>R packages by jpvdp</title><link>https://jpvdp.r-universe.dev</link></image><lastBuildDate>Thu, 08 Oct 2026 09:32:32 GMT</lastBuildDate><item><title>[jpvdp] Rhobots 0.1.10</title><author>j.p.g.vanderpol@uu.nl (J.P.G. van der Pol)</author><description>Implements the 'BERTopic' topic modeling pipeline directly
in R: transformer-based sentence embedding, Uniform Manifold
Approximation and Projection dimensionality reduction,
Hierarchical Density-Based Spatial Clustering of Applications
with Noise clustering, and class-based term frequency-inverse
document frequency topic extraction - all without any
dependency on 'Python', 'conda', or 'reticulate'. Every stage
runs in R through 'torch', 'safetensors', 'tok', 'uwot', and
'dbscan'. The package mirrors the accessor API of the original
'Python' package, adds integrated quality metrics and
hyperparameter search tools, and introduces part-of-speech
filtered and C-value-ranked representation models.</description><link>https://github.com/r-universe/jpvdp/actions/runs/37765116856</link><pubDate>Thu, 08 Oct 2026 09:32:32 GMT</pubDate><r:package>Rhobots</r:package><r:version>0.1.10</r:version><r:status>success</r:status><r:repository>https://jpvdp.r-universe.dev</r:repository><r:upstream>https://github.com/jpvdp/rhobots</r:upstream></item></channel></rss>