TeamHG-Memex / eli5Links
A library for debugging/inspecting machine learning classifiers and explaining their predictions
☆2,771Updated 3 months ago
Alternatives and similar repositories for eli5
Users that are interested in eli5 are comparing it to the libraries listed below
Sorting:
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,361Updated 5 months ago
- A library of sklearn compatible categorical variable encoders☆2,453Updated last month
- Hyper-parameter optimization for sklearn☆1,638Updated 3 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,046Updated last month
- python partial dependence plot toolbox☆860Updated 10 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,580Updated 11 months ago
- MLBox is a powerful Automated Machine Learning python library.☆1,519Updated last year
- ☆759Updated 2 years ago
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,654Updated 4 years ago
- Pandas integration with sklearn☆2,838Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,020Updated last month
- ML-Ensemble – high performance ensemble learning☆857Updated last year
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,438Updated 11 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,783Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆805Updated 3 years ago
- Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA☆1,379Updated last month
- A python library for decision tree visualization and model interpretation.☆3,086Updated 4 months ago
- A scikit-learn based module for multi-label et. al. classification☆941Updated last year
- An open source python library for automated feature engineering☆7,505Updated last week
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- Algorithms for explaining machine learning models☆2,540Updated last month
- A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner☆2,621Updated last year
- Feature exploration for supervised learning☆764Updated 4 years ago
- Open source time series library for Python☆2,132Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,762Updated 2 weeks ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,638Updated last year
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,327Updated 6 years ago
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,275Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,625Updated this week
- Python package for stacking (machine learning technique)☆693Updated 11 months ago