Implementation of numerical optimization algorithms for logistic regression problem.
- Gradient descent with different line search methods
- Newton method
- Hessian free Newton with conjugate gradients method
- BFGS & L-BFGS
- Stochastic gradient descent
- Adam
-
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Implementation of numerical optimization algorithms for logistic regression problem.
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