ralphhaygood / sklearn-gbmi
scikit-learn gradient-boosting-model interactions
☆25Updated last year
Alternatives and similar repositories for sklearn-gbmi:
Users that are interested in sklearn-gbmi are comparing it to the libraries listed below
- Helpers for scikit learn☆16Updated 2 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Python implementation of R package breakDown☆42Updated last year
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Python Interface of the Scalable Bayesian Rule Lists☆19Updated 5 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆41Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 11 months ago
- Python library for Ceteris Paribus Plots (What-if plots)☆20Updated 3 years ago
- ☆56Updated 10 months ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆72Updated last week
- Embed categorical variables via neural networks.☆59Updated last year
- Semi-Supervised t-SNE using a Bayesian prior based on partial labelling☆42Updated 8 years ago
- Repo for the ML_Insights python package☆150Updated last year
- mimic calibration☆21Updated 5 years ago
- A Python package for unwrapping ReLU DNNs☆69Updated last year
- Gradient boosting on steroids☆27Updated 9 months ago
- Software to create Precision-Recall-Gain curves and calculate area under the curve☆40Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 6 years ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated last year
- Batch shap calculations.☆30Updated 2 years ago
- Home of the PipeGraph extension to Scikit-Learn☆24Updated last week
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 3 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 6 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- Advanced random forest methods in Python☆57Updated last year