givasile / effector
Effector - a Python package for global and regional effect methods
☆68Updated this week
Alternatives and similar repositories for effector:
Users that are interested in effector are comparing it to the libraries listed below
- Repository for the explanation method Calibrated Explanations (CE)☆64Updated this week
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆99Updated 2 years ago
- Shapley Interactions and Shapley Values for Machine Learning☆324Updated this week
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆44Updated 2 years ago
- Conformal Anomaly Detection☆42Updated this week
- Interpretable ML for TabPFN☆23Updated 10 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Competing Risks and Survival Analysis☆68Updated this week
- ☆43Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆144Updated 5 months ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆107Updated last month
- An Open-Source Library for the interpretability of time series classifiers☆129Updated 3 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆92Updated this week
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- ☆37Updated 2 months ago
- Python package for conformal prediction☆479Updated 5 months ago
- Generalized Optimal Sparse Decision Trees☆52Updated last week
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆52Updated this week
- TimeSHAP explains Recurrent Neural Network predictions.☆166Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆54Updated 2 months ago
- A Natural Language Interface to Explainable Boosting Machines☆65Updated 7 months ago
- ☆49Updated last year
- Tabular In-Context Learning☆47Updated this week
- Experimental library integrating LLM capabilities to support causal analyses☆110Updated 5 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆313Updated last month
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆73Updated this week
- For calculating global feature importance using Shapley values.☆264Updated last week
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated 10 months ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆27Updated last year