least_squares_ql_gradient: Least Squares with Quadratic Loss gradient
In tbonza/supml: "Algorithms for Supervised Machine Learning"
View source: R/least_squares.R
Description
Related to Mean Squared Error, L2 norm
Usage
1
least_squares_ql_gradient(X, y, theta, alpha)
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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View source: R/least_squares.R
Description
Related to Mean Squared Error, L2 norm
Usage
1 | least_squares_ql_gradient(X, y, theta, alpha)
|
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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