linearRegression: linearRegression
In GuangchuangYu/mlass: Machine Learning Algorithms
Description
Usage
Arguments
Value
Author(s)
Description
linear regression
Usage
1
2
linearRegression(X, y, alpha = 0.01, lambda = 0, max.iter = 1000,
degree = 1, normalEqn = FALSE, featureNormalize = FALSE)
Arguments
X
x values (a column of 1 was added)
y
y values
alpha
learning rate
max.iter
number of iteration
degree
feature degree
Value
A linearRegressionResult instance.
Author(s)
Guangchuang Yu http://ygc.name
GuangchuangYu/mlass documentation built on May 6, 2019, 9:02 p.m.
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Description Usage Arguments Value Author(s)
Description
linear regression
Usage
1 2 | linearRegression(X, y, alpha = 0.01, lambda = 0, max.iter = 1000,
degree = 1, normalEqn = FALSE, featureNormalize = FALSE)
|
Arguments
X |
x values (a column of 1 was added) |
y |
y values |
alpha |
learning rate |
max.iter |
number of iteration |
degree |
feature degree |
Value
A linearRegressionResult instance.
Author(s)
Guangchuang Yu http://ygc.name
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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