kleimanr / auc_mu
Code for AUC Mu
☆14Updated 5 years ago
Alternatives and similar repositories for auc_mu:
Users that are interested in auc_mu are comparing it to the libraries listed below
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago
- A template for scikit-learn extensions☆333Updated 3 months ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- TabNet for fastai☆124Updated last week
- scikit-learn compatible projects☆410Updated 3 weeks ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- ☆288Updated 3 years ago
- Confidence intervals for scikit-learn forest algorithms☆287Updated last week
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Python package for stacking (machine learning technique)☆692Updated 8 months ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 2 years ago
- A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)☆173Updated 2 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆504Updated 8 months ago
- Experimental Gradient Boosting Machines in Python with numba.☆184Updated 6 years ago
- a python grammar for evolutionary algorithms and heuristics☆189Updated 3 years ago
- A graph-based functional API for building complex scikit-learn pipelines.☆590Updated 2 years ago
- Data Analysis Baseline Library☆131Updated 6 months ago
- Model Error Analysis for scikit-learn models.☆29Updated 3 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆611Updated last month
- Data Analysis Baseline Library☆726Updated 4 months ago
- Open source package for Survival Analysis modeling☆359Updated last year
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆224Updated 4 years ago
- Practical active learning in python☆189Updated 2 years ago
- Phi_K correlation analyzer library☆164Updated 3 months ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- Use Pandas DataFrame with scikit-learn Pipelines and Feature Unions☆32Updated 5 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 7 months ago
- scikit-learn-inspired time series☆200Updated last year
- scikit-learn contrib estimators☆194Updated 3 weeks ago
- Gradient Boosting With Piece-Wise Linear Trees☆152Updated last year