Project for Digital Image Processing
IRLS(Iterative re-weighted least square) for Logistic Regression, implemented using tensorflow2.0/pytorch
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)
This is the implementation of Iterative Reweighted Least Square Optimization of Logistic Regression
Recommended reading material pertaining to MUPE and other multiplicative error regression techniques
Logistic Regression with different optimizers in Python from scratch
A hands‑on, first‑principles guide to fitting logistic regression via the Iteratively Reweighted Least Squares (IRLS) algorithm complete with mathematical derivations, R code from scratch, and a real‑world S&P data case study to bring your statistical modeling skills to the next level.
An iteratively reweighed sandbox
Add a description, image, and links to the irls topic page so that developers can more easily learn about it.
To associate your repository with the irls topic, visit your repo's landing page and select "manage topics."