"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "docs/_docs/saturating_forecasts.md" between
prophet-1.1.tar.gz and prophet-1.1.1.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.

saturating_forecasts.md  (prophet-1.1)	:	saturating_forecasts.md  (prophet-1.1.1)
skipping to change at line 22		skipping to change at line 22
<a id="forecasting-growth"> </a>		<a id="forecasting-growth"> </a>
### Forecasting Growth		### Forecasting Growth
By default, Prophet uses a linear model for its forecast. When forecasting growt h, there is usually some maximum achievable point: total market size, total popu lation size, etc. This is called the carrying capacity, and the forecast should saturate at this point.		By default, Prophet uses a linear model for its forecast. When forecasting growt h, there is usually some maximum achievable point: total market size, total popu lation size, etc. This is called the carrying capacity, and the forecast should saturate at this point.
Prophet allows you to make forecasts using a [logistic growth](https://en.wikipe dia.org/wiki/Logistic_function) trend model, with a specified carrying capacity. We illustrate this with the log number of page visits to the [R (programming la nguage)](https://en.wikipedia.org/wiki/R_%28programming_language%29) page on Wik ipedia:		Prophet allows you to make forecasts using a [logistic growth](https://en.wikipe dia.org/wiki/Logistic_function) trend model, with a specified carrying capacity. We illustrate this with the log number of page visits to the [R (programming la nguage)](https://en.wikipedia.org/wiki/R_%28programming_language%29) page on Wik ipedia:
```R		```R
# R		# R
df <- read.csv('../examples/example_wp_log_R.csv')		df <- read.csv('https://raw.githubusercontent.com/facebook/prophet/main/examples /example_wp_log_R.csv')
```		```
```python		```python
# Python		# Python
df = pd.read_csv('../examples/example_wp_log_R.csv')		df = pd.read_csv('https://raw.githubusercontent.com/facebook/prophet/main/exampl es/example_wp_log_R.csv')
```		```
We must specify the carrying capacity in a column `cap`. Here we will assume a p articular value, but this would usually be set using data or expertise about the market size.		We must specify the carrying capacity in a column `cap`. Here we will assume a p articular value, but this would usually be set using data or expertise about the market size.
```R		```R
# R		# R
df$cap <- 8.5		df$cap <- 8.5
```		```
```python		```python
# Python		# Python
df['cap'] = 8.5		df['cap'] = 8.5
End of changes. 2 change blocks.
2 lines changed or deleted		2 lines changed or added

---