predict-idlab / powershapLinks
A power-full Shapley feature selection method.
☆210Updated last year
Alternatives and similar repositories for powershap
Users that are interested in powershap are comparing it to the libraries listed below
Sorting:
- All Relevant Feature Selection☆139Updated 4 months ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆151Updated 4 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆628Updated last year
- An extension of LightGBM to probabilistic modelling☆327Updated 2 weeks ago
- Flexible time series feature extraction & processing☆427Updated 11 months ago
- Quantile Regression Forests compatible with scikit-learn.☆236Updated last week
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Multiple Imputation with LightGBM in Python☆386Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆196Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 5 months ago
- A python library to build Model Trees with Linear Models at the leaves.☆380Updated last year
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated 2 years ago
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆421Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆578Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆169Updated last month
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆662Updated 6 months ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆248Updated 2 months ago
- Probabilistic Gradient Boosting Machines☆156Updated last year
- Python package for Imputation Methods☆249Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- Probabilistic prediction with XGBoost.☆114Updated 5 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆183Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 5 months ago
- An extension of XGBoost to probabilistic modelling☆639Updated 2 weeks ago
- Phi_K correlation analyzer library☆166Updated last week
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆603Updated 9 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Predict time-series with one line of code.☆429Updated 10 months ago