allentran / pca-magicLinks
PCA that iteratively replaces missing data
☆223Updated 2 years ago
Alternatives and similar repositories for pca-magic
Users that are interested in pca-magic are comparing it to the libraries listed below
Sorting:
- Density Based Clustering (DeBaCl) Toolbox☆102Updated 5 years ago
- bayesian bootstrapping in python☆123Updated 3 years ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆213Updated 8 years ago
- ☆99Updated 7 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Updated 7 months ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Compiled Decision Trees for scikit-learn☆230Updated 9 months ago
- A garden for scikit-learn compatible trees☆288Updated last year
- Code for Mondrian Forests (for classification and regression)☆269Updated 9 years ago
- Bayesian Optimization using xgboost and sklearn API☆225Updated 9 years ago
- Bayesian estimation supersedes the t test☆145Updated 4 years ago
- run a multitude of classifiers on you data and get an AUC report☆68Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Updated 8 years ago
- Scikit-learn compatible estimation of general graphical models☆249Updated 7 months ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆241Updated 7 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Python/numpy bootstrap confidence interval estimation.☆179Updated 5 months ago
- Uncertainty quantification book chapter☆50Updated 10 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Updated last year
- ☆80Updated 9 years ago
- Generate stochastic processes using Python. Unfortunately not maintained any longer =(☆112Updated 10 years ago
- Supporting notebooks and data from hypertools paper☆147Updated 7 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 6 years ago
- optimization routines for hyperparameter tuning☆425Updated 2 years ago
- Scikit-learn compatible Locality Preserving Projections in Python☆95Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆522Updated 4 years ago
- Yet Another Hidden Markov Model repository.☆249Updated 10 years ago
- [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…☆79Updated 5 years ago
- Bayesian machine learning in Python☆76Updated 10 years ago