In this paper, we present multinomial latent logistic regression (MLLR), a new learning paradigm that introduces latent variables to logistic regression. By inheriting the advantages of logistic ...

面对这类问题时，无序多分类logistic回归就像一把精准的""决策标尺""，能帮助我们量化各类影响因素的作用强度。 一、从理论到工具的选择 无序多分类logistic回归（Multinomial Logistic Regression）的核心思想，是通过建立多个二元logit模型来比较各分类间的相对概率。

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, ...

Bayaga, A. (2010) Multinomial Logistic Regression Usage and Application in Risk Analysis. Journal of Applied Quantitative Methods, 5, 288-297.

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression ...