From d831398b315ec2203af1645eab8ddde757b3c30e Mon Sep 17 00:00:00 2001 From: Jamie Mac Date: Fri, 18 Feb 2022 08:52:28 +0000 Subject: [PATCH] Update click_train_help.md --- src/clickTrainDetector/click_train_help.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/clickTrainDetector/click_train_help.md b/src/clickTrainDetector/click_train_help.md index f04436ec..966a0d9c 100644 --- a/src/clickTrainDetector/click_train_help.md +++ b/src/clickTrainDetector/click_train_help.md @@ -60,7 +60,7 @@ The initial basis of the model is: where _m_ is the number of selected descriptors, e.g. ICI, amplitude, bearing etc., and _y(i,k)_ is the measurement of descriptor _i_ for click _k_ in a click train with n associated clicks. _t(k+1)_ is the measured time of a click _k_. Each descriptor is divided by qi which is a user tuneable parameter that alters the importance each descriptor has on the total χ2. Ideally it should correspond to a prediction of the likely variance of the descriptor. -The descriptors can be enabled and the variance set in the χ2 Settings pane. The toggle button next to each descriptor sets whether a descriptor is used to score a click train and the variance is then set using the slider or by inputting manually by clicking the settings cog. Increasing the variance means that the descriptor has less of an influence on the calculation of χ2 and decreasing means that the descriptor has a larger influence on χ2. In some cases, clicks can be so close together that the variance is tiny and thus χ2 becomes huge e.g. during buzzes. A minimum variance value (〖qt〗_i) prevents the variance _(〖max⁡(qi (t(k+1)-t_k ),〖qt〗_i )〗2)_ from falling below very low values. +The descriptors can be enabled and the variance set in the χ2 Settings pane. The toggle button next to each descriptor sets whether a descriptor is used to score a click train and the variance is then set using the slider or by inputting manually by clicking the settings cog. Increasing the variance means that the descriptor has less of an influence on the calculation of χ2 and decreasing means that the descriptor has a larger influence on χ2. In some cases, clicks can be so close together that the variance is tiny and thus χ2 becomes huge e.g. during buzzes. A minimum variance value (_qti_) prevents the variance _(max⁡(qi (t(k+1)-tk ),qti )2)_ from falling below very low values. Ideally the variance for each parameter would be calculated from a test dataset of manually annotated click trains e.g. by calculating the variance of ICI of all marked click trains.