PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python.
José Ángel Martín-BaosRicardo García-RódenasMaría Luz López-GarcíaLuis Rodriguez-BenitezPublished in: Softw. Impacts (2024)
Keyphrases
- maximum likelihood estimation
- kernel logistic regression
- class probabilities
- density function
- gaussian process
- semi supervised
- em algorithm
- maximum likelihood
- kernel learning
- support vector machine
- logistic regression
- parameter estimation
- support vector
- expectation maximization
- probability distribution
- multi class
- kernel machines
- density estimation
- probability estimates
- unsupervised learning
- dimensionality reduction
- nearest neighbor
- mean shift
- particle filtering
- prior knowledge
- pairwise
- feature space
- machine learning