mining

package

v0.53.1 Latest Latest Go to latest Published: Mar 2, 2024 License: BSD-3-Clause, BSD-3-Clause Imports: 0 Imported by: 0

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Repository

github.com/shuLhan/share

Links

Open Source Insights

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
K-Nearest Neighbourhood

Resampling

SMOTE
LN-SMOTE (Local Neigbourhood SMOTE)

Miscellaneous

Gini index

Documentation ¶

Overview ¶

Package mining provides library for data mining and statistic related to machine learning.

Classifiers,

CART
Random Forest
Cascaded Random Forest
K-Nearest Neighbourhood

Resampling,

SMOTE
LN-SMOTE (Local Neigbourhood SMOTE)

Miscellaneous,

Gini index

Index ¶

Variables

Constants ¶

This section is empty.

Variables ¶

View Source

var BadWords = []string{
	"666", "da", "dont", "dosent", "whatever", "guy", "hi", "nazi", "sup",
	"guise", "loser", "thats", "ugly", "wanna", "whats", "wont", "gotta",
	"bloody", "fart", "pot", "prick", "stink", "smells", "smelly", "alot",
	"dunno", "gotcha",
}

BadWords contain list of colloquial words or bad writing words.

View Source

var BiasedWords = []string{
	"cutting-edge", "single-handedly", "well-established", "well-known",
	"world-class", "absolute", "acclaimed", "amazing", "astonishing",
	"authoritative", "beautiful", "best", "boreing", "boring",
	"brilliant", "canonical", "cares", "celebrated", "charismatic",
	"classic", "coolest", "defining", "definitive", "eminent", "enigma",
	"ever", "everyone", "exciting", "extraordinary", "fabulous", "famous",
	"fantastic", "fat", "fully", "genius", "global", "great", "greatest",
	"hate", "huge", "iconic", "idiotic", "immensely", "impactful",
	"incendiary", "indisputable", "infamous", "influential", "innovative",
	"inspired", "intriguing", "lame", "leader", "leading", "legendary",
	"like", "major", "masterly", "mature", "memorable", "most", "notable",
	"outstanding", "pioneer", "popular", "prestigious", "probably",
	"really", "remarkable", "renowned", "respected", "seminal",
	"significant", "skillful", "solution", "staunch", "strange", "super",
	"talented", "top", "total", "totally", "transcendent", "ugly",
	"undoubtedly", "unique", "virtually", "virtuoso", "visionary",
	"weird", "worst",
}

BiasedWords contain list of colloquial words with high bias.

View Source

var PronounWords = []string{
	"i", "me", "mine", "my", "myself", "our", "ours", "ourself",
	"ourselves", "selves", "thee", "thine", "thou", "thy", "thyself",
	"us", "we", "y'all", "y'all", "y'all's", "yis", "you", "you-uns",
	"your", "yours", "yourself", "yourselves", "yourselves", "yous",
	"yous's", "youse", "youse",
}

PronounWords contains list of first and second person pronouns including slangs.

View Source

var SexWords = []string{
	"anal", "breast", "breasts", "buttocks", "dildo", "dildos", "erect",
	"nipple", "nipples", "penis", "sex", "sodomized", "sodomy", "vagina",
	"vibrator", "vibrators",
}

SexWords contain list of non-vulgar sex-related words.

View Source

var VulgarWords = []string{}/* 779 elements not displayed */

VulgarWords contain list of vulgar and offensive words in informal and slangs.

Functions ¶

This section is empty.

Types ¶

This section is empty.

Source Files ¶

View all Source files

Directories ¶

Path	Synopsis
classifier Package classifier provides machine learning classifier library, including CART, Random Forest, Cascaded Random Forest, and KNN.	Package classifier provides machine learning classifier library, including CART, Random Forest, Cascaded Random Forest, and KNN.
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:	Package crf implement the cascaded random forest algorithm, proposed by Baumann et.al in their paper:
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.
gain
gini Package gini contain function to calculating Gini gain.	Package gini contain function to calculating Gini gain.
knn Package knn implement the K Nearest Neighbor using Euclidean to compute the distance between samples.	Package knn implement the K Nearest Neighbor using Euclidean to compute the distance between samples.
resampling 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,	Package lnsmote implement the Local-Neighborhood algorithm from the paper,
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.

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