LMLogisticLossIterations: LMLogisticLossIterations
In mertayD/codingProject2: coding project Linear Models
Description
Usage
Arguments
Examples
Description
LMLogisticLossIterations
Usage
1
LMLogisticLossIterations(X.mat, y.vec, max.iterations, step.size)
Arguments
X.mat
y.vec
max.iterations
step.size
Examples
1
2
3
4
5
6
7
8
library(codingProject2)
data(spam, package = "ElemStatLearn")
X.mat<-spam[1:10,-58]
y.vec<-spam[1:10, 58]
max.iterations <- 50
step.size <- 0.1
k <- sigmoid(0)
res <- LMLogisticLossIterations(X.mat, y.vec, 50, 0.1)
mertayD/codingProject2 documentation built on May 14, 2019, 11:06 p.m.
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Description Usage Arguments Examples
Description
LMLogisticLossIterations
Usage
1 | LMLogisticLossIterations(X.mat, y.vec, max.iterations, step.size)
|
Arguments
X.mat |
|
y.vec |
|
max.iterations |
|
step.size |
Examples
1 2 3 4 5 6 7 8 | library(codingProject2)
data(spam, package = "ElemStatLearn")
X.mat<-spam[1:10,-58]
y.vec<-spam[1:10, 58]
max.iterations <- 50
step.size <- 0.1
k <- sigmoid(0)
res <- LMLogisticLossIterations(X.mat, y.vec, 50, 0.1)
|
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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