linkedin / FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
☆537Updated last year
Alternatives and similar repositories for FastTreeSHAP:
Users that are interested in FastTreeSHAP are comparing it to the libraries listed below
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆574Updated 9 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆612Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆631Updated last month
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆278Updated this week
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- Improving XGBoost survival analysis with embeddings and debiased estimators☆329Updated 6 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,443Updated 3 weeks ago
- Extra blocks for scikit-learn pipelines.☆1,314Updated 2 weeks ago
- python partial dependence plot toolbox☆852Updated 7 months ago
- An extension of LightGBM to probabilistic modelling☆297Updated 9 months ago
- Combining tree-boosting with Gaussian process and mixed effects models☆592Updated 2 weeks ago
- All Relevant Feature Selection☆131Updated last month
- Multiple Imputation with LightGBM in Python☆374Updated 8 months ago
- An extension of XGBoost to probabilistic modelling☆589Updated 8 months ago
- Python Accumulated Local Effects package☆165Updated 2 years ago
- Forecasting with Gradient Boosted Time Series Decomposition☆194Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- A python library to build Model Trees with Linear Models at the leaves.☆374Updated 8 months ago
- Phi_K correlation analyzer library☆162Updated 2 months ago
- machine learning with logical rules in Python☆631Updated last year
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆750Updated 7 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆512Updated last week
- Leave One Feature Out Importance☆830Updated last month
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,354Updated this week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆697Updated 2 weeks ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Doubt your data, find bad labels.☆510Updated 8 months ago
- A set of data tools in Python☆500Updated 2 months ago
- Python package for Imputation Methods☆248Updated last year
- EvalML is an AutoML library written in python.☆805Updated last week