gradient_xy: Gradient Function
In FD155/ProjetR: Logistic Regression
Description
Usage
Arguments
Value
Examples
Description
The gradient of a function f for the parallelisation, denoted as ∇f, is the collection of all its partial derivatives into a vector
Usage
1
gradient_xy(data, theta)
Arguments
data
dataframe required to perform the gradient descent
theta
Coefficient matrix for logistic regression
Value
Returns a gradient vector
Examples
1
gradient_xy(data_ex, coef_ex)
FD155/ProjetR documentation built on Dec. 17, 2021, 7:31 p.m.
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Description Usage Arguments Value Examples
Description
The gradient of a function f for the parallelisation, denoted as ∇f, is the collection of all its partial derivatives into a vector
Usage
1 | gradient_xy(data, theta)
|
Arguments
data |
dataframe required to perform the gradient descent |
theta |
Coefficient matrix for logistic regression |
Value
Returns a gradient vector
Examples
1 | gradient_xy(data_ex, coef_ex)
|
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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