README
¶
go-mining
Go-mining is a small library for data mining.
The library is written in Go language.
Features
Classifiers
- CART
- Random Forest
- Cascaded Random Forest
Resampling
- SMOTE
- LN-SMOTE (Local Neigbourhood SMOTE)
Miscellaneous
- Computing Gini index
- Computing K-Nearest Neighbourhood
Directories
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| 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. |
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cascadedrf
Package cascadedrf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper: Baumann, Florian, et al.
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Package cascadedrf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper: Baumann, Florian, et al. |
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randomforest
Package randomforest implement ensemble of classifiers using random forest algorithm by Breiman and Cutler.
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Package randomforest implement ensemble of classifiers using random forest algorithm by Breiman and Cutler. |
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Package dataset extend the dsv.Reader to read data from delimited separated value (DSV) file by adding attribute ClassIndex which indicate the index of target attribute (class) in data.
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Package dataset extend the dsv.Reader to read data from delimited separated value (DSV) file by adding attribute ClassIndex which indicate the index of target attribute (class) in data. |
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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. |
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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. |
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Package math provide generic functions working with math.
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Package math provide generic functions working with math. |
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resampling
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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. |
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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). |
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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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