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supervisedAttributeScaling from group nz.ac.waikato.cms.weka (version 1.0.2)

Package containing a class that rescales the attributes in a classification problem based on their discriminative power. This is useful as a pre-processing step for learning algorithms such as the k-nearest-neighbour method, to replace simple normalization. Each attribute is rescaled by multiplying it with a learned weight. All attributes excluding the class are assumed to be numeric and missing values are not permitted. To achieve the rescaling, this package also contains an implementation of non-negative logistic regression, which produces a logistic regression model with non-negative weights .

Group: nz.ac.waikato.cms.weka Artifact: supervisedAttributeScaling
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supervisedAttributeScaling from group nz.ac.waikato.cms.weka (version 1.0.0)

Package containing a class that rescales the attributes in a classification problem based on their discriminative power. This is useful as a pre-processing step for learning algorithms such as the k-nearest-neighbour method, to replace simple normalization. Each attribute is rescaled by multiplying it with a learned weight. All attributes excluding the class are assumed to be numeric and missing values are not permitted. To achieve the rescaling, this package also contains an implementation of non-negative logistic regression, which produces a logistic regression model with non-negative weights .

Group: nz.ac.waikato.cms.weka Artifact: supervisedAttributeScaling
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1 downloads



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