linearRegression: linearRegression
In GuangchuangYu/mlass: Machine Learning Algorithms
View source: R/LinearRegression.R
linearRegression R Documentation
linearRegression
Description
linear regression
Usage
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 https://yulab-smu.top
GuangchuangYu/mlass documentation built on Nov. 25, 2024, 4:08 a.m.
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/LinearRegression.R
| linearRegression | R Documentation |
linearRegression
Description
linear regression
Usage
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 https://yulab-smu.top
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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