Metadata-Version: 2.1
Name: evalda-pub2
Version: 0.0.7
Summary: A package for quantifying bias in Danish language models.
Home-page: https://github.com/DaDebias/evalda-pub2
License: MIT
Author: Astrid Rybner
Author-email: astrid.rybner@hotmail.com
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: augmenty (>=1.3.7,<1.4)
Requires-Dist: dacy (>=2.7.1,<2.8)
Requires-Dist: matplotlib (>=3.7,<3.8)
Requires-Dist: numpy (>=1.24,<1.25)
Requires-Dist: pandas (>=1.5,<1.6)
Requires-Dist: scikit-learn (>=1.2,<1.3)
Requires-Dist: seaborn (>=0.12,<0.13)
Requires-Dist: spacy (>=3.5,<3.6)
Requires-Dist: spacy-wrap (>=1.4.2,<1.5)
Requires-Dist: tqdm (>=4.65.0,<4.66)
Requires-Dist: transformers (>=4.28,<4.29)
Project-URL: Repository, https://github.com/DaDebias/evalda-pub2
Description-Content-Type: text/markdown

### Getting started 
The package can be found on pypi and can be installed using pip. 
```bash
pip install evalda-pub2
```

### Usage

**Create a bias detector instance for evaluating ner model:**

```python
>>> from evalda-pub2 import Evaluator
 
>>> ev = Evaluator()
```

**Generate ner output:** 

```python
>>> output = ev.eval_ner(n=5, model_name = "saattrupdan/nbailab-base-ner-scandi", outstyle="condensed", outformat="csv")
```
**Generate ner visualization:** (currently non existing:)

```python
>>> viz = ev.visualize(outformat="png")
```

