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 To Save a Filter
You can save the filter you created to be able to reuse it at a later moment without being obliged to recreate
the same conditions.
1
Click the button Save Filter.
A pop-up window is displayed.
2
In the list Data Type, select the format in which you want to save the filter.
3
Use the Browse button located on the right of the Folder field to select the folder or database where you
want to save the filter.
4
In the Description field, enter the name of the file or table in which you want to save the filter.
5
Click the OK button.
 To Load an Existing Filter
To apply a filter to the data set, you can use a file created during a previous use of the data set in
InfiniteInsight® .
1
Click the button Load Existing Filter.
A pop-up window is displayed.
2
Use the list Data Type to select the format of the filter.
3
Use the Browse button located on the right of the Folder field to select the folder or the database in which
the filter is stored.
4
Use the Browse button located on the right of the Description field to select the file or the table containing
the filter.
5
Click the OK button.
5.2.1.4
Translating the Variable Categories
You can translate the categories of a nominal variable, save the translation or load an existing translation. This
translation has no influence on the variable structure, which has to be set according to the original values of
the variable.
Note - The variable "Target Key", that is used in the advanced settings for example, does not take into account the
translation when displaying the possible values of this variable.
 To Translate the Variable Categories
1
Right-click a nominal variable to translate its categories. A contextual menu is displayed.
2
Select the option Translate Categories for <name_of_the_variable>.
3
Choose into which languages you want to translate. By default, the language of the user interface is
displayed as a column.
4
Click the button
5
Translate the categories.
to extract the variable categories from the data set.
Note - You do not need to fill all fields.
SAP InfiniteInsight® 6.5 SP4
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InfiniteInsight® Modeler - Regression/Classification © 2013 SAP AG or an SAP affiliate company. All rights reserved-
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