multiclass: Multiclass Logistic regression
In importbq/bis557: Package for BIS557
Description
Usage
Arguments
Examples
Description
implementation of multiclass logistic regression capable of classifying more than 2 classes
Usage
1
multiclass(formula, data, maxit = 50, er = 1e-04)
Arguments
formula
feature variables and response variables specification
data
dataframe
maxit
maximum iteration
er
allowed errors
Examples
1
multiclass(Species ~.,iris)
importbq/bis557 documentation built on Dec. 21, 2020, 3:05 a.m.
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Description Usage Arguments Examples
Description
implementation of multiclass logistic regression capable of classifying more than 2 classes
Usage
1 | multiclass(formula, data, maxit = 50, er = 1e-04)
|
Arguments
formula |
feature variables and response variables specification |
data |
dataframe |
maxit |
maximum iteration |
er |
allowed errors |
Examples
1 | multiclass(Species ~.,iris)
|
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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