hlin117 / mdlp-discretizationLinks
An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
☆104Updated 2 years ago
Alternatives and similar repositories for mdlp-discretization
Users that are interested in mdlp-discretization are comparing it to the libraries listed below
Sorting:
- scikit-learn compatible implementation of stability selection.☆214Updated 2 years ago
- Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)☆60Updated 7 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 5 years ago
- CostSensitiveClassification Library in Python☆205Updated 5 years ago
- Library for machine learning stacking generalization.☆118Updated 6 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Updated 3 years ago
- A fast xgboost feature selection algorithm☆228Updated 4 years ago
- Extension of the awesome XGBoost to linear models at the leaves☆82Updated 6 years ago
- Repo for the ML_Insights python package☆153Updated 7 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆420Updated 2 years ago
- Ordinal regression algorithms☆271Updated 2 years ago
- ☆34Updated 7 years ago
- Python implementation of the rulefit algorithm☆429Updated 2 years ago
- Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.☆79Updated 6 months ago
- A scikit-learn compatible implementation of hyperband☆76Updated 6 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆154Updated last year
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆49Updated 6 months ago
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆61Updated 2 years ago
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 5 months ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 3 years ago
- ☆60Updated 6 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- A prototype implementation of ClusChurn based on PyTorch.☆52Updated 7 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- XGBoost Feature Interactions Reshaped☆432Updated 8 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆56Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago