bbalasub1 / glmnet_python
☆204Updated last year
Alternatives and similar repositories for glmnet_python
Users that are interested in glmnet_python 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 9 months ago
- Python implementation of elastic-net regularized generalized linear models☆280Updated last year
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆128Updated 8 years ago
- Confidence intervals for scikit-learn forest algorithms☆288Updated 3 weeks ago
- Generalized linear mixed-effect model in Python☆178Updated 6 years ago
- Mixed Effects Random Forest☆229Updated 10 months ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Group Lasso implementation following the scikit-learn API☆106Updated 11 months ago
- Repo for the ML_Insights python package☆150Updated last month
- Generalized Linear Models in Sklearn Style☆128Updated 5 years ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis☆215Updated last year
- A Python package for propensity score matching☆52Updated 3 years ago
- my blog☆268Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated last year
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- ☆240Updated 6 years ago
- ☆92Updated 5 months ago
- Python software for selective inference☆53Updated 2 years ago
- An R package that makes xgboost models fully interpretable☆256Updated 6 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆228Updated 4 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- ☆98Updated 7 years ago
- Python/numpy bootstrap confidence interval estimation.☆176Updated last year
- This is the implementation of Sparse Projection Oblique Randomer Forest☆98Updated last year
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 8 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated last year
- WIP predicted survival functions☆37Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago