semvec/pypi-packages huggingface dataset:
AIGrammar 0.0.6
AIGrammar Python package
Requires Python: >=3.7

# AIGrammar

## About
AIGrammar is all in one and easy to use package for model diagnostic and vulnerability checks. It enable with a simple line of code to check model metrics and prediction generalizability, feature contribution, and model vulnerability against adversarial attacks. 

**Data**
- Multicollinearity
- Data drift

**Model**
- Metric metric comparison
  - roc_auc vs average precision
- Optimal threshold vs 50% threshold

**Feature importance**
- Too high importance
- 0 impact
- Negative influence (FLOFO)
- Causes of overfitting

**Adversarial Attack**
- Model vulnerability identification based on one feature minimal change for getting opposite outcome.


**Usage**
Python 3.7+ required.
Installation: ``pip install AIGrammar``

Example:
``` from AIGrammar import AIGrammar
aig = AIGrammar(train, test, model, target_name)
aig.measure_all(X0_shap_values, X1_shap_values)

print(aig.diagnosis)
print(aig.warnings)
```
dash-bio-utils 1.0.0
Simple parsing tools that supplement dash-bio.

Notice

As of Dash Bio 1.0, the development of dash-bio-utils has been moved to the main [Dash Bio](https://github.com/plotly/dash-bio) repo.

This package exists for backward compatibility.

# Dash Bio Utils

Dash Bio utils is a set of helper scripts that work together with the
[`dash-bio`](https://github.com/plotly/dash-bio) package.

## Dash

Learn more about Dash at
[https://plot.ly/products/dash/](https://plot.ly/products/dash).

## Consulting and OEM

For inquiries about Dash app development, advanced OEM integration,
and more, please [reach out](https://plotly.typeform.com/to/mH1Cpb).

## Contributing

If you would like to contribute to this repository, please refer to
the [contributing
guidelines](https://github.com/plotly/dash-bio-utils/blob/master/CONTRIBUTING.md).

### Running tests

Create and activate a new virtualenv:

```bash
python3 -m venv venv
source venv/bin/activate
pip install pytest
```

or a conda env:

```bash
conda create -n dash-bio-utils python=3.7
source activate dash-bio-utils
conda config --add channels conda-forge
conda install pytest
```

Clone this repo, install the `dash-bio-utils` package, and run its tests:

```bash
git clone https://github.com/plotly/dash-bio-utils.git
cd dash-bio-utils/
python setup.py install
python -m pytest tests/
```

If you are setting breakpoints with [ipdb](https://pypi.org/project/ipdb/), you
want to disable capturing on the command line:

```bash
python -m pytest -s tests/
```