"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "python/README.md" between
prophet-1.0.tar.gz and prophet-1.1.tar.gz

About: Prophet is a tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

README.md  (prophet-1.0):README.md  (prophet-1.1)
skipping to change at line 21 skipping to change at line 21
- HTML documentation: https://facebook.github.io/prophet/docs/quick_start.html - HTML documentation: https://facebook.github.io/prophet/docs/quick_start.html
- Issue tracker: https://github.com/facebook/prophet/issues - Issue tracker: https://github.com/facebook/prophet/issues
- Source code repository: https://github.com/facebook/prophet - Source code repository: https://github.com/facebook/prophet
- Implementation of Prophet in R: https://cran.r-project.org/package=prophet - Implementation of Prophet in R: https://cran.r-project.org/package=prophet
## Other forecasting packages ## Other forecasting packages
- Rob Hyndman's [forecast package](http://robjhyndman.com/software/forecast/) - Rob Hyndman's [forecast package](http://robjhyndman.com/software/forecast/)
- [Statsmodels](http://statsmodels.sourceforge.net/) - [Statsmodels](http://statsmodels.sourceforge.net/)
## Installation ## Installation - PyPI release
```shell See [Installation in Python - PyPI release](https://github.com/facebook/prophet#
pip install prophet installation-in-python---pypi-release)
```
Note: Installation requires PyStan, which has its [own installation instruction ## Installation - Development version
s](http://pystan.readthedocs.io/en/latest/installation_beginner.html).
On Windows, PyStan requires a compiler so you'll need to [follow the instruction
s](http://pystan.readthedocs.io/en/latest/windows.html).
The key step is installing a recent [C++ compiler](https://visualstudio.microso
ft.com/visual-cpp-build-tools/)
## Installation using Docker and docker-compose (via Makefile) See [Installation in Python - Development version](https://github.com/facebook/p
rophet#installation-in-python---development-version)
### Installation using Docker and docker-compose (via Makefile)
Simply type `make build` and if everything is fine you should be able to `make s hell` or alternative jump directly to `make py-shell`. Simply type `make build` and if everything is fine you should be able to `make s hell` or alternative jump directly to `make py-shell`.
To run the tests, inside the container `cd python/prophet` and then `python -m u nittest` To run the tests, inside the container `cd python/prophet` and then `python -m u nittest`
### Example usage ### Example usage
```python ```python
>>> from prophet import Prophet >>> from prophet import Prophet
>>> m = Prophet() >>> m = Prophet()
>>> m.fit(df) # df is a pandas.DataFrame with 'y' and 'ds' columns >>> m.fit(df) # df is a pandas.DataFrame with 'y' and 'ds' columns
>>> future = m.make_future_dataframe(periods=365) >>> future = m.make_future_dataframe(periods=365)
>>> m.predict(future) >>> m.predict(future)
``` ```
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