semvec/pypi-packages huggingface dataset:
waio 0.2.0.0
waio - is a pretty simple and fully asynchronous framework for WhatsApp Business API written in Python 3.7 with asyncio and aiohttp. Used API official Facebook partner - Gupshup.io
License: MIT
Requires Python: >=3.7,<4.0
Keywords: python,waio,whatsapp,asyncio,aiohttp,waba,whats,app,bot

<p align="center">
<img alt="Codacy grade" src="https://img.shields.io/codacy/grade/36695d0fb1c648fbb8e0cb00f3612c7e">
<img src="https://scrutinizer-ci.com/g/dotX12/waio/badges/quality-score.png?b=master" alt="https://scrutinizer-ci.com/g/dotX12/waio/">
<img src="https://scrutinizer-ci.com/g/dotX12/waio/badges/code-intelligence.svg?b=master" alt="https://scrutinizer-ci.com/g/dotX12/waio/">
<img src="https://img.shields.io/testspace/tests/dotX12/66672/master" alt="Testspace tests">
<img src="https://scrutinizer-ci.com/g/dotX12/waio/badges/build.png?b=master" alt="https://scrutinizer-ci.com/g/dotX12/waio/">
<img src="https://badge.fury.io/py/waio.svg" alt="https://badge.fury.io/py/waio">
<img src="https://img.shields.io/github/license/dotX12/waio.svg" alt="https://github.com/dotX12/waio/blob/master/LICENSE.md">
<img src="https://img.shields.io/github/last-commit/dotX12/waio" alt="GitHub last commit">
<br><br>
<img width="1000" src="docs/assets/images/readme_footer.png">
 🤖 waio - is a pretty simple and fully asynchronous framework for WhatsApp Business API written in Python 3.7 with asyncio and aiohttp.
Used API official Facebook partner - <a href="https://gupshup.io">Gupshup.io</a>

-----
</p>


You can create an account and use a **Sandbox** to develop a bot
and test functionality, and when you finish - create your own business
number and transfer the functionality to your number,
make verification (check mark) and be cool!

## Official waio resources:
- Documentation: [readthedocs](https://waio.readthedocs.io/)
- Community RU: [@waioru](https://t.me/waioru)
- PyPI: [waio](https://pypi.python.org/pypi/waio)
- Source: [Github repo](https://github.com/dotX12/waio)
Mlops-ml-deploy-made-iv 0.8
Mlops-ml-deploy-made-iv
License: MIT

# mlops_made_2022


### Настройка окружение:

1) ```python3 -m venv .venv```
2) ```source .venv/bin/activate```
3) ```pip3 install -r requirements.txt```

### Make directory for logs and results (if there aren't these folders in actual commit):
```mkdir src/logs && mkdir results```
### ML pipeline start with commands:
#### Training:
```python3 -m src.model_pipeline --process-type=train configs/<config's name>```
#### Evaluating:
```python3 -m src.model_pipeline --process-type=predict configs/<config's name>```
### Configs:
1) ```logistic_regression_config.yaml``` - model with logistic regression
2) ```random_forest_config.yaml``` - model with random forest
#### Preprocessing pipeline can be corrected with changing ```preprocessing_params```. There are three different type of preprocessing in configs: ```normalization```, ```polynomial```, ```k-bin```
### Tests:
Tests start with ```python3 -m unittest discover -s ./tests  -p 'test_*.py'```
### Output data:
1) ```results/metrics.json``` - result of predict-process
2) ```src/logs/logs.log``` - logs of all scripts

### Other:
requirements.txt was created with console command:
```pip3 freeze | grep -v hw01 > requirements.txt``` - all libs were saved like this
.gitignore and global .gitignore was created with console command:
1) ```curl -o .gitignore https://raw.githubusercontent.com/github/gitignore/master/Python.gitignore``` - and add -idea
2) ```curl -o $HOME/.gitignore_global https://raw.githubusercontent.com/github/gitignore/master/Global/Linux.gitignore```