cla_multinom: Multinomial logistic regression
In daltoolbox: Leveraging Experiment Lines to Data Analytics
cla_multinom R Documentation
Multinomial logistic regression
Description
Multiclass classification using nnet::multinom.
Usage
cla_multinom(attribute, features = NULL)
Arguments
attribute
target attribute name
features
optional vector of feature names (default: all except attribute)
Value
returns a cla_multinom object
Examples
data(iris)
model <- cla_multinom("Species")
model <- fit(model, iris)
pred <- predict(model, iris)
eval <- evaluate(model, adjust_class_label(iris$Species), pred)
eval$metrics
daltoolbox documentation built on May 14, 2026, 9:06 a.m.
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.
| cla_multinom | R Documentation |
Multinomial logistic regression
Description
Multiclass classification using nnet::multinom.
Usage
cla_multinom(attribute, features = NULL)
Arguments
attribute |
target attribute name |
features |
optional vector of feature names (default: all except attribute) |
Value
returns a cla_multinom object
Examples
data(iris)
model <- cla_multinom("Species")
model <- fit(model, iris)
pred <- predict(model, iris)
eval <- evaluate(model, adjust_class_label(iris$Species), pred)
eval$metrics
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.