python partial dependence plot toolbox
☆861Sep 3, 2024Updated last year
Alternatives and similar repositories for PDPbox
Users that are interested in PDPbox are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆163May 29, 2020Updated 5 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- Python Accumulated Local Effects package☆170Feb 28, 2023Updated 3 years ago
- A library that implements fairness-aware machine learning algorithms☆126Oct 21, 2020Updated 5 years ago
- A game theoretic approach to explain the output of any machine learning model.☆25,163Mar 12, 2026Updated last week
- ☆761Jul 18, 2023Updated 2 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,816Mar 17, 2026Updated last week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated 3 weeks ago
- Lime: Explaining the predictions of any machine learning classifier☆12,106Jul 25, 2024Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,622Nov 13, 2025Updated 4 months ago
- Visualization ideas for data science☆21Apr 7, 2018Updated 7 years ago
- A python library for decision tree visualization and model interpretation.☆3,129Jan 2, 2026Updated 2 months ago
- Algorithms for explaining machine learning models☆2,621Oct 17, 2025Updated 5 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,124Jan 24, 2026Updated 2 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆623Mar 24, 2025Updated last year
- moDel Agnostic Language for Exploration and eXplanation☆1,459Jan 20, 2026Updated 2 months ago
- ML-Ensemble – high performance ensemble learning☆863Nov 13, 2023Updated 2 years ago
- An open source python library for automated feature engineering☆7,623Feb 3, 2026Updated last month
- machine learning with logical rules in Python☆657Jan 31, 2024Updated 2 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,816Feb 23, 2024Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,575Feb 24, 2026Updated last month
- Leave One Feature Out Importance☆863Feb 14, 2025Updated last year
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,279Oct 25, 2023Updated 2 years ago
- An R package for better visualizing a statistical learning model☆35Jan 12, 2026Updated 2 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,092Feb 2, 2026Updated last month
- Automatic extraction of relevant features from time series:☆9,151Nov 15, 2025Updated 4 months ago
- [CONTRIBUTORS WELCOME] Generalized Additive Models in Python☆989Jan 22, 2026Updated 2 months ago
- Extra blocks for scikit-learn pipelines.☆1,383Mar 12, 2026Updated last week
- Python implementation of the rulefit algorithm☆442Oct 8, 2023Updated 2 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Sep 11, 2025Updated 6 months ago
- Hyper-parameter optimization for sklearn☆1,646Apr 15, 2025Updated 11 months ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,438Mar 3, 2026Updated 3 weeks ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Aug 20, 2024Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆650Feb 19, 2024Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,853Updated this week
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Jun 17, 2024Updated last year
- Confidence intervals for scikit-learn forest algorithms☆288Apr 20, 2025Updated 11 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,765Mar 13, 2026Updated last week