myaooo / pysbrl
Python Interface of the Scalable Bayesian Rule Lists
☆19Updated 5 years ago
Alternatives and similar repositories for pysbrl:
Users that are interested in pysbrl are comparing it to the libraries listed below
- repository for R library "sbrlmod"☆25Updated 10 months ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Bayesian or-of-and☆34Updated 3 years ago
- Using Bayesian inference to mine rule sets☆10Updated 5 years ago
- Extremely simple and fast extreme multi-class and multi-label classifiers.☆65Updated this week
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆41Updated 2 years ago
- A new framework to generate interpretable classification rules☆17Updated 2 years ago
- Supervised Local Modeling for Interpretability☆28Updated 6 years ago
- RankDCG: ranking/ordering evaluation measure☆38Updated 3 years ago
- A Python package for hubness analysis and high-dimensional data mining☆44Updated 9 months ago
- CAIPI turns LIMEs into trust!☆12Updated 4 years ago
- ☆34Updated 4 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 8 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 3 years ago
- Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)☆17Updated 2 years ago
- Embed categorical variables via neural networks.☆59Updated last year
- Public home of pycorels, the python binding to CORELS☆77Updated 4 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 6 years ago
- Causing: CAUsal INterpretation using Graphs☆57Updated 2 months ago
- ☆37Updated 3 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Code, notebooks and examples with ECG: Ensemble Clustering for Graphs☆31Updated 2 years ago
- AutoLearn, a domain independent regression-based feature learning algorithm.☆30Updated 5 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆51Updated 10 months ago
- Benchmark for Graph Embedding Methods☆47Updated 4 years ago
- Ensemble topic modelling with pLSA☆114Updated 3 years ago
- Graph Embedding via Frequent Subgraphs☆44Updated 4 years ago