From ff68962b2a3951e917f0a17c7958fc0f9e1bafb0 Mon Sep 17 00:00:00 2001 From: Tim Gates Date: Fri, 8 Jan 2021 05:52:14 +1100 Subject: [PATCH] docs: fix simple typo, aribtrary -> arbitrary (#1761) There is a small typo in docs/_docs/seasonality,_holiday_effects,_and_regressors.md. Should read `arbitrary` rather than `aribtrary`. --- docs/_docs/seasonality,_holiday_effects,_and_regressors.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/_docs/seasonality,_holiday_effects,_and_regressors.md b/docs/_docs/seasonality,_holiday_effects,_and_regressors.md index 9ac63b4..e118657 100644 --- a/docs/_docs/seasonality,_holiday_effects,_and_regressors.md +++ b/docs/_docs/seasonality,_holiday_effects,_and_regressors.md @@ -316,7 +316,7 @@ fig = m.plot_components(forecast) -Seasonalities are estimated using a partial Fourier sum. See [the paper](https://peerj.com/preprints/3190/) for complete details, and [this figure on Wikipedia](https://en.wikipedia.org/wiki/Fourier_series#/media/File:Fourier_Series.svg) for an illustration of how a partial Fourier sum can approximate an aribtrary periodic signal. The number of terms in the partial sum (the order) is a parameter that determines how quickly the seasonality can change. To illustrate this, consider the Peyton Manning data from the [Quickstart](https://facebook.github.io/prophet/docs/quick_start.html). The default Fourier order for yearly seasonality is 10, which produces this fit: +Seasonalities are estimated using a partial Fourier sum. See [the paper](https://peerj.com/preprints/3190/) for complete details, and [this figure on Wikipedia](https://en.wikipedia.org/wiki/Fourier_series#/media/File:Fourier_Series.svg) for an illustration of how a partial Fourier sum can approximate an arbitrary periodic signal. The number of terms in the partial sum (the order) is a parameter that determines how quickly the seasonality can change. To illustrate this, consider the Peyton Manning data from the [Quickstart](https://facebook.github.io/prophet/docs/quick_start.html). The default Fourier order for yearly seasonality is 10, which produces this fit: ```R