"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "README.md" between
prophet-0.7.tar.gz and prophet-1.0.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-0.7)	:	README.md  (prophet-1.0)
# Prophet: Automatic Forecasting Procedure		# Prophet: Automatic Forecasting Procedure
[](http		
s://travis-ci.com/facebook/prophet)		[](https://pypi.python
[](https://pypi.pyth		.org/pypi/prophet)
on.org/pypi/fbprophet)		[](
[		https://anaconda.org/conda-forge/prophet/)
](https://anaconda.org/conda-forge/fbprophet/)
Prophet is a procedure for forecasting time series data based on an additive mod el where non-linear trends are fit with yearly, weekly, and daily seasonality, p lus holiday effects. It works best with time series that have strong seasonal ef fects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.		Prophet is a procedure for forecasting time series data based on an additive mod el where non-linear trends are fit with yearly, weekly, and daily seasonality, p lus holiday effects. It works best with time series that have strong seasonal ef fects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Prophet is [open source software](https://code.facebook.com/projects/) released by Facebook's [Core Data Science team](https://research.fb.com/category/data-sci ence/). It is available for download on [CRAN](https://cran.r-project.org/packag e=prophet) and [PyPI](https://pypi.python.org/pypi/fbprophet/).		Prophet is [open source software](https://code.facebook.com/projects/) released by Facebook's [Core Data Science team](https://research.fb.com/category/data-sci ence/). It is available for download on [CRAN](https://cran.r-project.org/packag e=prophet) and [PyPI](https://pypi.python.org/pypi/prophet/).
## Important links		## Important links
- Homepage: https://facebook.github.io/prophet/		- Homepage: https://facebook.github.io/prophet/
- 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
		- Contributing: https://facebook.github.io/prophet/docs/contributing.html
- Prophet R package: https://cran.r-project.org/package=prophet		- Prophet R package: https://cran.r-project.org/package=prophet
- Prophet Python package: https://pypi.python.org/pypi/fbprophet/		- Prophet Python package: https://pypi.python.org/pypi/prophet/
- Release blogpost: https://research.fb.com/prophet-forecasting-at-scale/		- Release blogpost: https://research.fb.com/prophet-forecasting-at-scale/
- Prophet paper: Sean J. Taylor, Benjamin Letham (2018) Forecasting at scale. Th e American Statistician 72(1):37-45 (https://peerj.com/preprints/3190.pdf).		- Prophet paper: Sean J. Taylor, Benjamin Letham (2018) Forecasting at scale. Th e American Statistician 72(1):37-45 (https://peerj.com/preprints/3190.pdf).
## Installation in R		## Installation in R
Prophet is a [CRAN package](https://cran.r-project.org/package=prophet) so you c an use `install.packages`.		Prophet is a [CRAN package](https://cran.r-project.org/package=prophet) so you c an use `install.packages`.
```R		```R
install.packages('prophet')		install.packages('prophet')
```		```
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After installation, you can [get started!](https://facebook.github.io/prophet/do cs/quick_start.html#r-api)		After installation, you can [get started!](https://facebook.github.io/prophet/do cs/quick_start.html#r-api)
### Windows		### Windows
On Windows, R requires a compiler so you'll need to [follow the instructions](ht tps://github.com/stan-dev/rstan/wiki/RStan-Getting-Started) provided by `rstan`. The key step is installing [Rtools](http://cran.r-project.org/bin/windows/Rtool s/) before attempting to install the package.		On Windows, R requires a compiler so you'll need to [follow the instructions](ht tps://github.com/stan-dev/rstan/wiki/RStan-Getting-Started) provided by `rstan`. The key step is installing [Rtools](http://cran.r-project.org/bin/windows/Rtool s/) before attempting to install the package.
If you have custom Stan compiler settings, install from source rather than the C RAN binary.		If you have custom Stan compiler settings, install from source rather than the C RAN binary.
## Installation in Python		## Installation in Python
Prophet is on PyPI, so you can use `pip` to install it. From v0.6 onwards, Pytho n 2 is no longer supported.		Prophet is on PyPI, so you can use `pip` to install it. From v0.6 onwards, Pytho n 2 is no longer supported. As of v1.0, the package name on PyPI is "prophet"; p rior to v1.0 it was "fbprophet".
```bash		```bash
# Install pystan with pip before using pip to install fbprophet		# Install pystan with pip before using pip to install prophet
pip install pystan		pip install pystan
pip install fbprophet		pip install prophet
```		```
The default dependency that Prophet has is `pystan`. PyStan has its own [install ation instructions](http://pystan.readthedocs.io/en/latest/installation_beginner .html). Install pystan with pip before using pip to install fbprophet.		The default dependency that Prophet has is `pystan`. PyStan has its own [install ation instructions](http://pystan.readthedocs.io/en/latest/installation_beginner .html). Install pystan with pip before using pip to install prophet.
You can also choose a (more experimental) alternative stan backend called `cmdst anpy`. It requires the [CmdStan](https://mc-stan.org/users/interfaces/cmdstan) c ommand line interface and you will have to specify the environment variable `STA N_BACKEND` pointing to it, for example:		You can also choose a (more experimental) alternative stan backend called `cmdst anpy`. It requires the [CmdStan](https://mc-stan.org/users/interfaces/cmdstan) c ommand line interface and you will have to specify the environment variable `STA N_BACKEND` pointing to it, for example:
```		```
# bash		# bash
$ CMDSTAN=/tmp/cmdstan-2.22.1 STAN_BACKEND=CMDSTANPY pip install fbprophet		$ CMDSTAN=/tmp/cmdstan-2.22.1 STAN_BACKEND=CMDSTANPY pip install prophet
```		```
Note that the `CMDSTAN` variable is directly related to `cmdstanpy` module and c an be omitted if your CmdStan binaries are in your `$PATH`.		Note that the `CMDSTAN` variable is directly related to `cmdstanpy` module and c an be omitted if your CmdStan binaries are in your `$PATH`.
It is also possible to install Prophet with two backends:		It is also possible to install Prophet with two backends:
```		```
# bash		# bash
$ CMDSTAN=/tmp/cmdstan-2.22.1 STAN_BACKEND=PYSTAN,CMDSTANPY pip install fbprophe t		$ CMDSTAN=/tmp/cmdstan-2.22.1 STAN_BACKEND=PYSTAN,CMDSTANPY pip install prophet
```		```
After installation, you can [get started!](https://facebook.github.io/prophet/do cs/quick_start.html#python-api)		After installation, you can [get started!](https://facebook.github.io/prophet/do cs/quick_start.html#python-api)
If you upgrade the version of PyStan installed on your system, you may need to r einstall fbprophet ([see here](https://github.com/facebook/prophet/issues/324)).		If you upgrade the version of PyStan installed on your system, you may need to r einstall prophet ([see here](https://github.com/facebook/prophet/issues/324)).
### Anaconda		### Anaconda
Use `conda install gcc` to set up gcc. The easiest way to install Prophet is thr ough conda-forge: `conda install -c conda-forge fbprophet`.		Use `conda install gcc` to set up gcc. The easiest way to install Prophet is thr ough conda-forge: `conda install -c conda-forge prophet`.
### Windows		### Windows
On Windows, PyStan requires a compiler so you'll need to [follow the instruction s](http://pystan.readthedocs.io/en/latest/windows.html). The easiest way to inst all Prophet in Windows is in Anaconda.		On Windows, PyStan requires a compiler so you'll need to [follow the instruction s](http://pystan.readthedocs.io/en/latest/windows.html). The easiest way to inst all Prophet in Windows is in Anaconda.
### Linux		### Linux
Make sure compilers (gcc, g++, build-essential) and Python development tools (py thon-dev, python3-dev) are installed. In Red Hat systems, install the packages g cc64 and gcc64-c++. If you are using a VM, be aware that you will need at least 4GB of memory to install fbprophet, and at least 2GB of memory to use fbprophet.		Make sure compilers (gcc, g++, build-essential) and Python development tools (py thon-dev, python3-dev) are installed. In Red Hat systems, install the packages g cc64 and gcc64-c++. If you are using a VM, be aware that you will need at least 4GB of memory to install prophet, and at least 2GB of memory to use prophet.
## Changelog		## Changelog
### Version 0.6 (2020.03.03)		### Version 0.6 (2020.03.03)
- Fix bugs related to upstream changes in `holidays` and `pandas` packages.		- Fix bugs related to upstream changes in `holidays` and `pandas` packages.
- Compile model during first use, not during install (to comply with CRAN policy )		- Compile model during first use, not during install (to comply with CRAN policy )
- `cmdstanpy` backend now available in Python		- `cmdstanpy` backend now available in Python
- Python 2 no longer supported		- Python 2 no longer supported
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- Bugfixes		- Bugfixes
- New options for detecting yearly and weekly seasonality (now the default)		- New options for detecting yearly and weekly seasonality (now the default)
### Version 0.1 (2017.02.23)		### Version 0.1 (2017.02.23)
- Initial release		- Initial release
## License		## License
Prophet is licensed under the [MIT license](LICENSE.md).		Prophet is licensed under the [MIT license](LICENSE).
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