Crates.io | crfs |
lib.rs | crfs |
version | 0.2.0 |
source | src |
created_at | 2021-01-31 04:12:29.777234 |
updated_at | 2021-11-18 14:16:19.300989 |
description | Pure Rust port of CRFsuite: a fast implementation of Conditional Random Fields (CRFs) |
homepage | |
repository | https://github.com/messense/crfs-rs |
max_upload_size | |
id | 348751 |
size | 45,991 |
Pure Rust port of CRFsuite: a fast implementation of Conditional Random Fields (CRFs)
Currently only support prediction, model training is not supported. For training you can use crfsuite-rs.
Add it to your Cargo.toml
:
[dependencies]
crfs = "0.1"
Performance comparsion with CRFsuite on MacBook Pro (13-inch, M1, 2020) 16GB
$ cargo bench --bench crf_bench -- --output-format bencher
test tag/crfs ... bench: 1449 ns/iter (+/- 5)
test tag/crfsuite ... bench: 2154 ns/iter (+/- 14)
Last updated on 2021-11-18.
This work is released under the MIT license. A copy of the license is provided in the LICENSE file.