From ce9972538e79105ecf6a47653514a10998931921 Mon Sep 17 00:00:00 2001
From: "Olabarrieta Palacios, Ignacio" <ignacio.olabarrieta@tecnalia.com>
Date: Wed, 7 Dec 2022 15:09:31 +0100
Subject: [PATCH] correcting help button

---
 .../bike-analysis.component.html              | 29 +++++++------------
 1 file changed, 11 insertions(+), 18 deletions(-)

diff --git a/src/app/pages/tecnalia-module/bike-analysis/bike-analysis.component.html b/src/app/pages/tecnalia-module/bike-analysis/bike-analysis.component.html
index e624b0b1..3685d9d9 100644
--- a/src/app/pages/tecnalia-module/bike-analysis/bike-analysis.component.html
+++ b/src/app/pages/tecnalia-module/bike-analysis/bike-analysis.component.html
@@ -222,15 +222,14 @@
                 visualize data including a menu, two tables and a calendar, and the column of the right hand side has a map and
                 and area to visualize charts. We describe now these components. The controls on the left column include the following:
                 <ul>
-                <li><b>Models Table:</b> The models table show information about the characteristics and the status of the models that are 
-                    or have been trainned. In the down side of the table there are two button that allow create new models. In addition on 
-                    the bottom-right side there is a button to reload (update) the data of the table. 
-                    This last button is important because inmediately after you submit the creation of the model the new model does NOT 
+                <li><b>Models Table:</b> The models table, located on the top of the left column, show information about the characteristics and 
+                    the status of the models that are or have been trainned. In the down side of the table there is one button that allows to create new models. 
+                    In addition on the bottom-right side there is a button to reload (update) the data of the table. 
+                    This last button is important because inmediately after you submit the creation of a new model this one does NOT 
                     show up in the table, the user should press the reload button to be able to see it.</li>
                 <li><b>Calendar:</b> The calendar is used to choose the day to be predicted, or the starting day of the period to be predicted. 
-                    This is used once the models have been trainned. By default the selected day corresponds to the current day. In addition 
-                    in the calendarthe school, local and bank hollidays are shown if the data is avaible. Notice that is a prediction that involves 
-                    weather is required only few days in the future are susceptible to be predicted.</li>
+                    This is used once the models have been trainned. By default the selected day corresponds to the current day. Notice that is a prediction 
+                    that involves weather is required only few days (4 days) in the future are susceptible to be predicted.</li>
                 <li><b>Matrix Output:</b> Shows the predicted matrix at a future instance of time, actual hour can be chosen by a slider that can be found 
                     inmediately above this control.</li>
                 </ul>
@@ -238,20 +237,15 @@
                 <ul>
                     <li><b>Load Points:</b>Allows to visualize the bike stations on the map.</li>
                     <li><b>Create Voronoi:</b> Generate Voronoi areas from the set of points previously loaded, by default these are the locations of the 
-                        bike stations. This voronoi areas can be used as the zonning for the OD Matrix computation.</li>
+                        bike stations.</li>
                     <li><b>Load Areas:</b>This allows the user to specify the zonning for the OD Matrix computation by providing a geojson. Notice that the geojson 
                         Features should have an integer "zone_id" property that is used for identify each of the zones. These "zone_id" properties should
-                        start in 1 and should be in consective order (i.e. no gaps are allowed).</li>  
+                        start in 1 and should be in consective order (i.e. no gaps are allowed). Right now this only allows to visualize, no areas can be uploaded dinamically</li>  
                 </ul>
                 <h5>Create/Train Model</h5>
                 The trainning of a model can be initiated by pressing the <b>New Model</b> 
-                button located inside the model table. This opens up a new window.
-                In the case no sensor is selected the process will involve all the sensors and will take a long time.
-                Once the loop sensor is selected the avaiable data is shown in the graph area below the map. 
-                The historic traffic stored within the platform is shown in blue, the temperature in green and the 
-                precipitation in cyan (for the time being the temperature and the precipitation are not used for the trainning of models). 
-                In addition, other information related the flow measurements are shown in the table on the left hand side, the aforementioned Loop Table.
-                In the window the following information can be seen/specified:
+                button located inside the model table. This opens up a new window with two menus one for the areas available in the platform another one for specifiying the number
+                of features to be consider for the model:
                 <ul> 
                     <li><b>Areas:</b> The identification of the zonning to be used for the computation. The zonning should be created in advance, by defult the "districts" are generated. </li>
                     <li><b>Num Features:</b>  number of features considered to create the model:
@@ -277,8 +271,7 @@
                         <li><b>0:</b>  completed</li>
                         <li><b>-1:</b> trainning still in process</li>
                     </ul></li>
-            <li><b>Score</b>: Score, quality, of model, using the test data set. Only avaiable if the Type is equal to 2 (Random Forest). 
-                            This value is better the closer to 1.</li>
+            <li><b>Score</b>: Score, quality, of model, using the test data set. This value is better the closer to 1.</li>
             </ul>
             <h5>Perform Prediction</h5>
             
-- 
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