README
¶
[
]
(https://godoc.org/github.com/shuLhan/go-mining)
[]
(https://goreportcard.com/report/github.com/shuLhan/go-mining)
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
- K-Nearest Neighbourhood
Resampling
- SMOTE
- LN-SMOTE (Local Neigbourhood SMOTE)
Miscellaneous
- Gini index
Directories
¶
| Path | Synopsis |
|---|---|
|
cart
Package cart implement the Classification and Regression Tree by Breiman, et al.
|
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.
|
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.
|
Package rf implement ensemble of classifiers using random forest algorithm by Breiman and Cutler. |
|
cmd
|
|
|
cart
command
|
|
|
crf
command
|
|
|
lnsmote
command
|
|
|
rf
command
|
|
|
smote
command
|
|
|
gain
|
|
|
gini
Package gini contain function to calculating Gini gain.
|
Package gini contain function to calculating Gini gain. |
|
Package knn implement the K Nearest Neighbor using Euclidian to compute the distance between samples.
|
Package knn implement the K Nearest Neighbor using Euclidian to compute the distance between samples. |
|
Package math provide generic functions working with math.
|
Package math provide generic functions working with math. |
|
Package resampling provide common interface, constants, and methods for resampling modules.
|
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.
|
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).
|
Package smote resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE). |
|
tree
|
|
|
binary
Package binary contain implementation of binary tree.
|
Package binary contain implementation of binary tree. |
Click to show internal directories.
Click to hide internal directories.