gradient_descent: Implement gradient descent for ordinary least squares
In nixgank-wang/bis557: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Examples
View source: R/gradient_descent.R
Description
This is a function implementing gradient descent algorithm to
estimate the parameters in OLS model
Usage
1
gradient_descent(form, data, alpha, num_iters, contrasts = NULL)
Arguments
form
A given formula for fitting the regression
data
A given dataset to fit the model
alpha
The learning rate
num_iters
The number of iterations
contrasts
list of constasts for factor variables
Examples
1
2
3
library(palmerpenguins)
data(penguins)
my_fit =gradient_descent(bill_length_mm ~ ., data = penguins[,-8],alpha=0.1,num_iters=1000)
nixgank-wang/bis557 documentation built on Dec. 26, 2020, 9:54 p.m.
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Description Usage Arguments Examples
View source: R/gradient_descent.R
Description
This is a function implementing gradient descent algorithm to estimate the parameters in OLS model
Usage
1 | gradient_descent(form, data, alpha, num_iters, contrasts = NULL)
|
Arguments
form |
A given formula for fitting the regression |
data |
A given dataset to fit the model |
alpha |
The learning rate |
num_iters |
The number of iterations |
contrasts |
list of constasts for factor variables |
Examples
1 2 3 | library(palmerpenguins)
data(penguins)
my_fit =gradient_descent(bill_length_mm ~ ., data = penguins[,-8],alpha=0.1,num_iters=1000)
|
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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