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Commit 8bdce6d3 authored by Olabarrieta Palacios, Ignacio's avatar Olabarrieta Palacios, Ignacio
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checking Help buttom

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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>Label Switch:</b> On the very top side, its purpose is to show in the map the id of each sensor.</li>
<li><b>Labels Switch:</b> On the top left side, its purpose is to show in the map the id of each sensor.</li>
<li><b>Filter Switch:</b> On the top center side, its purpose is to show, in the models table, only the models of the sensor
selected in the map.</li>
<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 and to print the
test of a given trainned model. In addition on the bottom-right side there is a button to reload 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
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
This is used once the models have been trainned, i.e. their status is zero. By default the selected day corresponds to the current day. In addition
in the calendar. Notice that is a prediction that involves
weather is required only few days in the future are susceptible to be predicted.</li>
<li><b>Loop Table:</b> Shows statistical information about the data from the Loop sensor choosen.</li>
</ul>
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the flow measurements are shown in the table on the left hand side, the aforementioned Loop Table.
<h5>Create/Train Model</h5>
If a loop sensor is selected the trainning of a model can be initiated by pressing the <b>New Model</b>
If a loop sensor is selected (by clicking on it in the map) 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:
Once the loop sensor is selected information related the flow measurements are shown in the table on the bottom left hand side.
When the <b>New Model</b> buttom is pressed there is a window opened, in the window the following information can be seen/specified:
<ul>
<li><b>id:</b> the identification label for the loop sensor choosen in the map.</li>
<li><b>id:</b> the identification label for the loop sensor choosen in the map (in the case one loop is selected on the map).</li>
<li><b>Num Features:</b> number of features considered to create the model:
<ul>
<li><b>1</b>: Considers only the time of the day, Hour of the Day (HoD). We call it the *slot* of the day, this corresponds to the time interval
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<h5>Perform Prediction</h5>
Once the status of a model is equal to zero the model can be used in order to perform predictions.
The prediction can be performed for a full day, for a full week of the user can choose a custom period.
The result of the prediction is shown in the graph below the map showing the actual prediction of the confidence
interval associated with the prediction. The prediction is performed for the day selected in the calendar
or starting that day if the period is longer.
The prediction can be performed for a full day, for 4 days or the user can choose a custom period.
The result of the prediction is shown in the graph below the map showing the actual prediction and the confidence
interval associated with it. The prediction is performed for the day selected in the calendar
or starting that day if the period is longer than one day.
</div>
</div>
</div>
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