Methods for evaluating low-resource word embedding models trained with gensim
Project description
gensim-evaluations
This library provides methods for evaluating word embedding models loaded with gensim. Currently, it implements two methods designed specifically for the evaluation of low-resource models. The code allows users to automatically create custom test sets in any of the 581 languages supported by Wikidata and then to evaluate on them using the OddOneOut and Topk methods introduced in this paper.
For more details visit the github repository
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file gensim-evaluations-0.1.0.tar.gz.
File metadata
- Download URL: gensim-evaluations-0.1.0.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5acfdf2e3e558b0de39cb6ef66e3eb803b7feb6d3547718a29029a0d30111c3b |
|
| MD5 | d12b5da764690d0c07f1cdb347cf06d2 |
|
| BLAKE2b-256 | 0ae4c6a1771fbef67cb6df28b2cdbb1f08a098ad44d5424df7556829095e57b9 |
File details
Details for the file gensim_evaluations-0.1.0-py3-none-any.whl.
File metadata
- Download URL: gensim_evaluations-0.1.0-py3-none-any.whl
- Upload date:
- Size: 25.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | eddd236b283ea9aa1e97ac726819332f4b77a566963723ae30604e787ffca40c |
|
| MD5 | 1510a774510702a7586e6601c6e54781 |
|
| BLAKE2b-256 | 8509fa9dc90362722bd8fb2443ed3fa2925c794685855caca6afdee4bb2b1767 |
