manifoldsR 0.3.1
Features
- Version updates on the backend to enable avx2 and avx512 instructions by default.
manifoldsR 0.3.0
Major release
Features
- A lot of the backend code in Rust changed. This gives in parts substantially faster kNN searches from ann-search-rs (
"v0.8.1").
Breaking change
- The kNN searches not always return Euclidean distance and not squared Euclidean distance to simplify. Be aware that this is a breaking change if you have old kNN graphs that used the Euclidean distance!
manifoldsR 0.2.11
Features
- Faster graph generations for PHATE, UMAP and tSNE from
manifolds-rs.
- Various updates on the Rust backend.
manifoldsR 0.2.10
Fix
- Register the extendr panic hook. A panic in the Rust code now surfaces as an R error instead of taking down the R session.
manifoldsR 0.2.9
Features
- Faster spectral initialisation from
manifolds-rs.
manifoldsR 0.2.8
Features
- Implementations of dens-map and dens-sne, density-preserving versions of UMAP and tSNE, see Narayan et al.
manifoldsR 0.2.7
Features
- Updates on
manifolds-rs, evoc-rs, ann-search-rs and bixverse-rs.
manifoldsR 0.2.6
Features
- Substantially faster tSNE implementations for both the
"bh" and "fft" version.
manifoldsR 0.2.5
Features
- Various version bumps to recent Rust crates.
Bug fixes
- The PacMAP optimisation was broken in the original Rust crate. This has been fixed now. The k parameter disappeared for PacMAP! This is a breaking change.
- Chosing
"ivf" as a knn search method would have errored out due to wrong checkmate assertions.
manifoldsR 0.2.4
Features
- More control over floating point operations to avoid catastrophic cancellation on large data sets across all algorithms. This is controlled via the
use_high_precision = NULL parameter. NULL will default to sensible defaults, but fine-grained control if you know what you are doing.
manifoldsR 0.2.3
Features
- Updates to various Rust crates
- More control over verbosity over the functions.
- Improved tSNE on large scale:
late_exag_factor added that can be used on large data sets to increase repulsion on the later epochs. Also, speed improvements for both versions of tSNE.
- Faster PHATE (or rather fast again - k-means clustering iterations reduced here to avoid unncessary iterations).
Bug fixes
- Numerical stability problem solved for very large data sets with FFT-accelerated tSNE
manifoldsR 0.2.2
Features
- Diffusion maps implemented.
- Update to extendr
0.9.0 backends.
- Documentation and vignette updates
manifoldsR 0.2.1
Features
- Version bump for
ann-search-rs which exposes a new exact nearest neighbour algorithm - updates to defaults, vignettes and documentation.
manifoldsR 0.2.0
Scope of the package was a bit extended and now offers also some of the very fast clustering methods that power aspects of the approximate nearest neighbour searches (k-means) + EVõC clustering.
Features
-
EVõC clustering implemented from the brilliant Leland McInnes.
- k-means clustering from
ann-search-rs in a full version and as a mini-batch version for memory constrained scenarios.
manifoldsR 0.1.3
Features
- Version bump to latest
ann-search-rs version
manifoldsR 0.1.2
Features
- Version bump to latest
manifolds-rs version
manifoldsR 0.1.1
Features
- PaCMAP implemented
- Faster kNN searches for IVF and Annoy thanks to better
ann-search-rs
manifoldsR 0.1.0
Features
- Implements UMAP, tSNE and PHATE based on Rust-accelerated methods.
- Provides synthetic data for testing and exploration purposes.
- Has an interface to various (approximate) nearest neighbour searches.
