Directories ¶
Path | Synopsis |
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cart
Package cart implement the Classification and Regression Tree by Breiman, et al.
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Package cart implement the Classification and Regression Tree by Breiman, et al. |
crf
Package crf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper: Baumann, Florian, et al.
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Package crf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper: Baumann, Florian, et al. |
rf
Package rf implement ensemble of classifiers using random forest algorithm by Breiman and Cutler.
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Package rf implement ensemble of classifiers using random forest algorithm by Breiman and Cutler. |
cmd
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gain
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gini
Package gini contain function to calculating Gini gain.
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Package gini contain function to calculating Gini gain. |
Package knn implement the K Nearest Neighbor using Euclidian to compute the distance between samples.
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Package knn implement the K Nearest Neighbor using Euclidian to compute the distance between samples. |
Package math provide generic functions working with math.
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Package math provide generic functions working with math. |
Package resampling provide common interface, constants, and methods for resampling modules.
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Package resampling provide common interface, constants, and methods for resampling modules. |
lnsmote
Package lnsmote implement the Local-Neighborhood algorithm from the paper, Maciejewski, Tomasz, and Jerzy Stefanowski.
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Package lnsmote implement the Local-Neighborhood algorithm from the paper, Maciejewski, Tomasz, and Jerzy Stefanowski. |
smote
Package smote resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE).
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Package smote resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE). |
tree
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binary
Package binary contain implementation of binary tree.
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Package binary contain implementation of binary tree. |
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