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GC-24: Add easier creating and handling of factors for categorical variables #76

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cesarsouza opened this issue Apr 5, 2015 · 3 comments
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GC-24: Add easier creating and handling of factors for categorical variables #76

cesarsouza opened this issue Apr 5, 2015 · 3 comments
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@cesarsouza
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In order to use some models with categoric data, such as logistic regression, it is first necessary to convert categories into factors. It would be nice to have a more easier or standard way to create such variables.
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The factors/categorical variables will be handled by a separate class (currently named Groups, but this can change). This class will likely be added to the framework during the development of issue #70.

cesarsouza added a commit that referenced this issue Apr 25, 2015
@cesarsouza
Adding support for different factor representations in the Codificati…
39c123c 
…on filter. Might be a way to solve GC-24 / GH-76.
cesarsouza added a commit that referenced this issue Jan 22, 2016
@cesarsouza
Adding a Categorial class containing extension methods to manipulate …
8d10ef5 
…categorical variables (i.e. labels and groupings);

Deprecating older methods in favor of the new organization.

GH-76/GC-24: Add easier creating and handling of factors for categorical variables.

Solves issue #76.
@cesarsouza
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Categoric data can now be handled using the Accord.Statistics.Categorical static class.

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Accord.Statistics.Categorical has been renamed to Accord.Statistics.Classes and incorporated in release 3.2.

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