manifoldai / merfLinks
Mixed Effects Random Forest
☆234Updated last year
Alternatives and similar repositories for merf
Users that are interested in merf are comparing it to the libraries listed below
Sorting:
- Generalized linear mixed-effect model in Python☆182Updated 7 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Updated last year
- An R package that makes xgboost models fully interpretable☆258Updated 7 years ago
- Generalized Linear Models in Sklearn Style☆130Updated 5 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated 2 years ago
- Python package for causal inference using Bayesian structural time-series models.☆244Updated 5 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Updated 7 months ago
- scikit-learn compatible implementation of stability selection.☆214Updated 2 years ago
- Repo for the ML_Insights python package☆153Updated 7 months ago
- Data imputations library to preprocess datasets with missing data☆360Updated 4 years ago
- Python Accumulated Local Effects package☆169Updated 2 years ago
- ☆208Updated last year
- Python package for Imputation Methods☆251Updated last year
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 4 years ago
- Bayesian Additive Regression Trees For Python☆230Updated last year
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆246Updated 7 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Updated 2 years ago
- Basic time series modeling with Stan and Pystan☆33Updated 8 years ago
- ☆116Updated 6 years ago
- iml: interpretable machine learning R package☆502Updated 9 months ago
- ☆24Updated 5 years ago
- scikit-learn-inspired time series☆201Updated last year
- Demo Weibull Time-to-event Recurrent Neural Network in Keras☆222Updated 6 years ago