Matt-OP / hillclimbersLinks
A python module that uses hill climbing to iteratively blend machine learning model predictions.
☆60Updated last year
Alternatives and similar repositories for hillclimbers
Users that are interested in hillclimbers are comparing it to the libraries listed below
Sorting:
- All Relevant Feature Selection☆142Updated 8 months ago
- ML models + benchmark for tabular data classification and regression☆313Updated 2 weeks ago
- A power-full Shapley feature selection method.☆211Updated 2 months ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Updated 8 months ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆74Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆70Updated 2 years ago
- An extension of LightGBM to probabilistic modelling☆353Updated 3 weeks ago
- Time Series Forecasting with LightGBM☆86Updated 3 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆535Updated 2 weeks ago
- A lightweight and fast auto-ml library☆81Updated 4 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- ☆170Updated 5 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 9 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆641Updated last year
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆917Updated last month
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆394Updated 8 months ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆506Updated last week
- ☆53Updated 2 years ago
- A python package for time series forecasting with scikit-learn estimators.☆163Updated last year
- Feature selection library in python☆147Updated 4 months ago
- scikit-learn compatible tools for building credit risk acceptance models☆106Updated 10 months ago
- Quantile Regression Forests compatible with scikit-learn.☆251Updated 2 weeks ago
- State-of-the art Automated Machine Learning python library for Tabular Data☆236Updated 2 years ago
- A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.☆15Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆387Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 2 months ago
- WarpGBM: High-Speed Gradient Boosting☆94Updated last month
- Probabilistic Gradient Boosting Machines☆157Updated last year
- xRFM: Accurate, scalable, and interpretable feature learning models for tabular data☆58Updated last week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆676Updated 10 months ago