Description Usage Arguments Value Examples
The gradient of a function f, denoted as ∇f, is the collection of all its partial derivatives into a vector
1 | gradient(x, y, theta)
|
x |
Matrix of explanatory variables to predict |
y |
Target Variable Matrix |
theta |
Coefficient matrix for logistic regression |
Returns a gradient vector
1 |
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