From f00f7625be85c8f6458df9341d3aed3156cbdfaa Mon Sep 17 00:00:00 2001 From: sanke1 <22073083+sankerust@users.noreply.github.com> Date: Mon, 25 Feb 2019 15:50:38 +0300 Subject: [PATCH] Update help section in Analytics tab (#190) --- .../graph_panel/partials/tab_analytics.html | 25 ++++--------------- 1 file changed, 5 insertions(+), 20 deletions(-) diff --git a/src/panel/graph_panel/partials/tab_analytics.html b/src/panel/graph_panel/partials/tab_analytics.html index dc8a519..9ad1396 100644 --- a/src/panel/graph_panel/partials/tab_analytics.html +++ b/src/panel/graph_panel/partials/tab_analytics.html @@ -199,28 +199,13 @@
- Adding Analytic Units: - 1) Click on 'Add Analytic Unit' button to add an analytic unit. - 2) Type in desired analytic unit name into provided 'Name' field. - 3) Choose pattern type from the 'Type' dropdown menu. Pattern types explained below. - 4) Click 'create' button. + For usage instructions: + Visit our Wiki page. - Labeling segments: - 1) Click on the chart symbol to enter labeling mode. - 2) Hold down 'Ctrl' button on your keyboard and hold down left mouse button while dragging to label segments manually. Release LMB to finish labeling the segment. - 3) After all of the needed segments are labeled click on the chart symbol again to exit labeling mode. + If you encounter any problems: + Look for solution or create a new Issue here. - Hastic will now start learning, and after a short while you will see the results on your graph. - - Deleting segments: - 1) Click on the chart symbol to enter labeling mode. (skip this step if you are already in labeling mode) - 2) Press 'D' key twice to switch from to . - 3) Hold down 'Ctrl' button on your keyboard and hold down left mouse button while dragging to mark segments for deletion. - 4) After all of the needed segments are deleted click on the chart symbol again to exit labeling mode. - - Hastic will now start learning again, based on updated segments list. - - Available labeling patterns: + Available labeling patterns examples: 1) General: patterns in your data that don't fall under any of provided built-in patterns. 2) Peaks: a sharp increase to a certain single value, followed by a return to the original value.