:rocket: ANN :facepunch:
Install
pip install fast-ann
Usage
from ann import ANN
import numpy as np
data = np.random.random((1000, 128)).astype('float32')
ann = ANN()
ann.train(data, index_factory='IVF4000, Flat', noramlize=True)
dis, idx = ann.search(data[:10])
print(dis)
print(idx)
-
faiss不同量级对应的训练时间及内存测试
-
压缩方式测试
-
四种组合：默认是查向量返回 distance与index
- id => id/vector
- vector => id/vector
- push场景需要 docid => title_vector => docid
-
线上服务
- id2word
- id2vector
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
easyann-2021.2.1.15.42.6.tar.gz
(11.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file easyann-2021.2.1.15.42.6.tar.gz.
File metadata
- Download URL: easyann-2021.2.1.15.42.6.tar.gz
- Upload date:
- Size: 11.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.56.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dd3976b109adb6a9337c531489eec2202e93505db8f86908681816c6177ec0d5
|
|
| MD5 |
e678643395326ff928922b8163d23cab
|
|
| BLAKE2b-256 |
ed1e64351098f02c6dd3181f50bb979bdfc36294282c2a4838800076d63158a5
|
File details
Details for the file easyann-2021.2.1.15.42.6-py3-none-any.whl.
File metadata
- Download URL: easyann-2021.2.1.15.42.6-py3-none-any.whl
- Upload date:
- Size: 16.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.56.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
36ad77df3141bf915cfe352b463c4e61aeba305886fc59cb89d235d588d02798
|
|
| MD5 |
44ef1e7e9c89ad8dd3702596669c8a5c
|
|
| BLAKE2b-256 |
d408b44997d6efeec1b85ad840d459472b68663afe256b7e0fe1eb28146de993
|
