gradient_descent: Gradient Descent Function
In yijunyang/bis557: BIS557 HW#1
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Implement gradient descent for ordinary least squares.
Usage
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gradient_descent(
form,
d,
contrasts = NULL,
iters = 1e+05,
gamma = 1e-04,
threshold = 1e-12
)
Arguments
form
A formula
d
A dataframe
contrasts
Contrasts argument
iters
Number of maximum iterations
gamma
The learning rate
threshold
Threshold for the difference between RSS of new and old betas.
Value
a list of beta coefficients
Author(s)
Yijun Yang
Examples
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4
## Not run:
gradient_descent(body_mass_g ~ bill_depth_mm, penguins)
## End(Not run)
yijunyang/bis557 documentation built on Dec. 21, 2020, 3:06 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Implement gradient descent for ordinary least squares.
Usage
1 2 3 4 5 6 7 8 | gradient_descent(
form,
d,
contrasts = NULL,
iters = 1e+05,
gamma = 1e-04,
threshold = 1e-12
)
|
Arguments
form |
A formula |
d |
A dataframe |
contrasts |
Contrasts argument |
iters |
Number of maximum iterations |
gamma |
The learning rate |
threshold |
Threshold for the difference between RSS of new and old betas. |
Value
a list of beta coefficients
Author(s)
Yijun Yang
Examples
1 2 3 4 | ## Not run:
gradient_descent(body_mass_g ~ bill_depth_mm, penguins)
## End(Not run)
|
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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