Metadata-Version: 2.1
Name: autoforecast
Version: 0.0.7
Summary: AutoML time series forecasting
Home-page: https://github.com/GuillaumeSimo/autoforecast
Author: Guillaume Simo
Author-email: guillaume.simo@hotmail.fr
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: aiohttp (==3.7.3)
Requires-Dist: fbprophet (==0.7.1)
Requires-Dist: Keras (==2.4.3)
Requires-Dist: numpy (==1.19.4)
Requires-Dist: pandas (==1.2.0)
Requires-Dist: scikit-learn (==0.24.0)
Requires-Dist: statsmodels (==0.12.1)
Requires-Dist: tensorflow (==2.4.0)
Requires-Dist: xgboost (==1.3.1)

# Auto Forecast
AutoML library for time series forecasting

## Getting started

Install virtualenv
```bash
$ pip install virtualenv
```

Create a virtualenv named venv
```bash
$ virtualenv venv
```

Activate the virtualenv venv
```bash
$ source venv/bin/activate
```

Upgrade pip
```bash
$ pip install pip --upgrade
```

Install the requirements
```bash
$ pip install -r requirements.txt
```

Run the main.py file
```bash
$ python3 main.py
```


