glm-tools / pyglmnet
Python implementation of elastic-net regularized generalized linear models
☆280Updated last year
Alternatives and similar repositories for pyglmnet:
Users that are interested in pyglmnet are comparing it to the libraries listed below
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆264Updated 6 months ago
- ☆201Updated last year
- Generalized Linear Models in Sklearn Style☆128Updated 4 years ago
- Scikit-learn compatible estimation of general graphical models☆246Updated 10 months ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- Generalized linear mixed-effect model in Python☆174Updated 6 years ago
- Python/numpy bootstrap confidence interval estimation.☆176Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- Randomized online matrix factorization☆138Updated 4 years ago
- Python software for selective inference☆51Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- scikit-learn compatible implementation of stability selection.☆210Updated last year
- minepy - Maximal Information-based Nonparametric Exploration☆218Updated 7 months ago
- ☆98Updated 6 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 8 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 7 years ago
- Bayesian estimation supersedes the t test☆145Updated 3 years ago
- PCA that iteratively replaces missing data☆221Updated last year
- Relevance Vector Machine implementation using the scikit-learn API.☆234Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆516Updated 3 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated 11 months ago
- Implementation of Hidden Markov Models in pymc3☆60Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆459Updated last year
- bayesian bootstrapping in python☆121Updated 2 years ago
- ☆158Updated 2 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆211Updated 7 years ago
- my blog☆267Updated 2 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆416Updated 2 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago