transferwise / shap-selectLinks
A library for feature selection for gradient boosting models using regression on feature Shapley values
☆38Updated 6 months ago
Alternatives and similar repositories for shap-select
Users that are interested in shap-select are comparing it to the libraries listed below
Sorting:
- Quick and Easy Time Series Outlier Detection☆111Updated 3 months ago
- Arguably the best missing values imputation method.☆76Updated last year
- A python library for hierarchical classification compatible with scikit-learn☆136Updated 10 months ago
- Helpers for scikit learn☆16Updated 3 years ago
- Phi_K correlation analyzer library☆172Updated 3 weeks ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- Clustering for mixed-type data☆101Updated last year
- A more flexible alternative to scikit-learn Pipelines☆37Updated 7 months ago
- All Relevant Feature Selection☆142Updated 10 months ago
- Clusteval provides methods for unsupervised cluster validation☆67Updated last week
- Synthetic Data Generation for mixed-type, multivariate time series.☆120Updated last week
- A power-full Shapley feature selection method.☆213Updated 3 months ago
- APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals t…☆23Updated last month
- scikit-mine : pattern mining in Python☆74Updated 2 years ago
- A framework for calibration measurement of binary probabilistic models☆29Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆65Updated 2 weeks ago
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆72Updated 2 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 2 weeks ago
- Pipeline components that support partial_fit.☆46Updated last year
- ☆115Updated last year
- Methods for online conformal prediction.☆117Updated 9 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 3 years ago
- Explaining dimensionality results using SHAP values☆55Updated 3 weeks ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆63Updated last year
- Fast K-Medoids clustering in Python with FasterPAM☆90Updated 3 months ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Advanced random forest methods in Python☆58Updated 2 years ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆12Updated last year