scikit-learn-contrib / forest-confidence-intervalLinks
Confidence intervals for scikit-learn forest algorithms
☆291Updated 6 months ago
Alternatives and similar repositories for forest-confidence-interval
Users that are interested in forest-confidence-interval are comparing it to the libraries listed below
Sorting:
- A garden for scikit-learn compatible trees☆288Updated last year
- pymc-learn: Practical probabilistic machine learning in Python☆232Updated 4 years ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆327Updated 5 years ago
- scikit-learn-inspired time series☆201Updated last year
- ☆159Updated 3 years ago
- Repo for the ML_Insights python package☆153Updated 7 months ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆466Updated 2 years ago
- A template for scikit-learn extensions☆340Updated 9 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Updated 2 years ago
- scikit-learn compatible projects☆410Updated 7 months ago
- Experimental Gradient Boosting Machines in Python with numba.☆188Updated 6 years ago
- scikit-learn compatible implementation of stability selection.☆214Updated 2 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆469Updated 8 months ago
- Python Accumulated Local Effects package☆170Updated 2 years ago
- Multiple correspondence analysis☆181Updated 2 months ago
- Time should be taken seer-iously☆318Updated 2 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆620Updated 7 months ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆244Updated 5 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 8 years ago
- scikit-learn contrib estimators☆198Updated this week
- bayesian bootstrapping in python☆123Updated 3 years ago
- Python implementation of the conformal prediction framework.☆473Updated 4 years ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆286Updated last week
- OpenML's Python API for a World of Data and More 💫☆313Updated this week
- scikit-learn-compatible estimators from Civis Analytics☆59Updated 4 years ago
- Python/numpy bootstrap confidence interval estimation.☆179Updated 3 months ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Data imputations library to preprocess datasets with missing data☆360Updated 4 years ago