semvec/pypi-packages huggingface dataset:
linearsvc 1.0.1
A svm classifier model for predicting license short_name
Requires Python: >=3.5

## About

This is a simple python package of Linear support vector machine model trained on the Minerva dataset. The trained model can be used to
predict the license shortname from the code.

### How to use

- Installing the package:
  - `pip install linearsvc`
- Import the trained model:
  - `from linearsvc import linearsvc`
- How to use:
  - By calling sklearn's predict function:
    `classifier = linearsvc(processed_comment)`
    `predictor = classifier.classify()`
    `short_name = predictor.predict(processed_comment)`
  - By directly calling predict_shortname():
    `classifier = linearsvc(processed_comment)`
    `short_name = classifier.predict_shortname()`
simplelogin-api 0.1.1
SimpleLogin API wrapper

## SimpleLogin API wrapper

*!! Work in progress !!*

### About

Wrapper for [simplelogin.io](https://simplelogin.io) API

Made using [SL API docs (13.04.2022)](https://github.com/simple-login/app/blob/4d1c4cfdfffb88af0d34b7d1d973ffd53bf518c1/docs/api.md)

Schema validation powered by [Schematics](https://github.com/schematics/schematics)

### TODO

* all api endpoints
* async client
* useful tests

### Example

[Create API key here](https://app.simplelogin.io/dashboard/api_key)

```python
from simplelogin.client import Client
from simplelogin import SimpleLoginApi

if __name__ == '__main__':
    client = Client('API_KEY')
    api = SimpleLoginApi(client)
    print(api.get_user_info().to_native())
    print(api.get_alias_list(page=0).to_native())
```