egobox-moe
| Crates.io | egobox-moe |
| lib.rs | egobox-moe |
| version | 0.24.0 |
| source | src |
| created_at | 2022-04-12 13:41:51.133461 |
| updated_at | 2024-11-12 16:06:07.31017 |
| description | A library for mixture of expert gaussian processes |
| homepage | |
| repository | https://github.com/relf/egobox |
| max_upload_size | |
| id | 566438 |
| size | 197,809 |
Rémi Lafage (relf)
documentation
README
Mixture of experts
egobox-moe provides a Rust implementation of mixture of experts algorithm.
It is a Rust port of mixture of expert of the SMT Python library.
The big picture
egobox-moe is a library crate in the top-level package egobox.
Current state
egobox-moe currently implements mixture of gaussian processes provided by egobox-gp:
- Clustering (
linfa-clustering/gmm) - Hard recombination / Smooth recombination
- Gaussian processe model choice: specify regression and correlation allowed models
Examples
There is some usage examples in the examples/ directory. To run, use:
$ cargo run --release --example clustering
License
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0