plotGain: Attribute Evaluators.
In BMILAB/AStrap: Identificantion of alternative splicing events and classificaiton of alternative splicing types
Description
Usage
Arguments
Examples
Description
Using function InfoGainAttributeEval from Rweka to
evaluate the worth of an attribute by measuring the information
gain with respect to the class.
Usage
1
plotGain(trainset, num)
Arguments
trainset
The training data set.
num
The number of top features based on the entropy value can
be display in figure.
Examples
1
2
3
4
5
##Loading example data
rice_model<- load(system.file("data","rice_model.Rdata",package = "AStrap"))
library(RWeka)
library(ggplot2)
plotGain(trainset,20)
BMILAB/AStrap documentation built on Nov. 20, 2020, 4:03 p.m.
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Description Usage Arguments Examples
Description
Using function InfoGainAttributeEval from Rweka to evaluate the worth of an attribute by measuring the information gain with respect to the class.
Usage
1 | plotGain(trainset, num)
|
Arguments
trainset |
The training data set. |
num |
The number of top features based on the entropy value can be display in figure. |
Examples
1 2 3 4 5 | ##Loading example data
rice_model<- load(system.file("data","rice_model.Rdata",package = "AStrap"))
library(RWeka)
library(ggplot2)
plotGain(trainset,20)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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