gradient_descent_outofsample: Gradient descent based on out of sample accuracy
In damingli09/bis557: Package for homework of BIS557 Computational Statistics
View source: R/gradient_descent_outofsample.R
Description
Fits linear model by gradient descent optimizing out of sample accuracy
Usage
1
gradient_descent_outofsample(form, dat, gamma = 0.1, tol = 0.01, iter = 10000)
Arguments
form
the input formula object
dat
the input dataframe
gamma
the learning rate
tol
the numerical tolerance
iter
the maximum iterations
damingli09/bis557 documentation built on Nov. 21, 2020, 9:11 a.m.
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View source: R/gradient_descent_outofsample.R
Description
Fits linear model by gradient descent optimizing out of sample accuracy
Usage
1 | gradient_descent_outofsample(form, dat, gamma = 0.1, tol = 0.01, iter = 10000)
|
Arguments
form |
the input formula object |
dat |
the input dataframe |
gamma |
the learning rate |
tol |
the numerical tolerance |
iter |
the maximum iterations |
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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