Metadata-Version: 2.1
Name: autoforecast
Version: 0.0.8
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

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

Install autoforecast
```bash
$ pip install autoforecast
```


### Run the example function
```python
from autoforecast.examples import autoforecast_bitcoin


res = autoforecast_bitcoin.run()
print(res)
```

### Use you own dataset
```python
from autoforecast.automl import AutoForecast

res_auto_forecast = AutoForecast(train).run_auto_forecast(
    X_train, y_train, X_test, y_test,
    verbose=False, max_time_in_sec=600
)
```


