glm-tools / pyglmnetLinks
Python implementation of elastic-net regularized generalized linear models
☆282Updated last year
Alternatives and similar repositories for pyglmnet
Users that are interested in pyglmnet are comparing it to the libraries listed below
Sorting:
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆266Updated 10 months ago
- Generalized Linear Models in Sklearn Style☆128Updated 5 years ago
- Generalized linear mixed-effect model in Python☆178Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- ☆203Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆518Updated 3 years ago
- Python/numpy bootstrap confidence interval estimation.☆176Updated last year
- Bayesian estimation supersedes the t test☆144Updated 3 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆235Updated 8 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 9 years ago
- minepy - Maximal Information-based Nonparametric Exploration☆227Updated 11 months ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 7 years ago
- optimization routines for hyperparameter tuning☆419Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- my blog☆268Updated 3 years ago
- ☆98Updated 7 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- autoregressive plugin☆27Updated 2 years ago
- A garden for scikit-learn compatible trees☆287Updated 11 months ago
- ☆155Updated 5 years ago
- Randomized online matrix factorization☆140Updated 4 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆461Updated last year
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated last month