loft-br / xgboost-survival-embeddingsLinks
Improving XGBoost survival analysis with embeddings and debiased estimators
☆336Updated 8 months ago
Alternatives and similar repositories for xgboost-survival-embeddings
Users that are interested in xgboost-survival-embeddings are comparing it to the libraries listed below
Sorting:
- Open source package for Survival Analysis modeling☆359Updated last year
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆340Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated 2 years ago
- Time should be taken seer-iously☆316Updated 2 years ago
- Python package for Imputation Methods☆248Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆348Updated 2 years ago
- Fast SHAP value computation for interpreting tree-based models☆540Updated last year
- Multiple Imputation with LightGBM in Python☆380Updated 10 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆616Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆577Updated 11 months ago
- A power-full Shapley feature selection method.☆208Updated last year
- An extension of LightGBM to probabilistic modelling☆312Updated 11 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆638Updated 4 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆649Updated 3 months ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆148Updated last month
- An extension of XGBoost to probabilistic modelling☆616Updated last month
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- Python port of CausalImpact R library☆286Updated last year
- Experiments on Tabular Data Models☆277Updated 2 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆476Updated 3 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 2 months ago
- TabNet for fastai☆124Updated last month
- Phi_K correlation analyzer library☆164Updated 4 months ago
- All Relevant Feature Selection☆135Updated 2 months ago
- Extra blocks for scikit-learn pipelines.☆1,336Updated last month
- A Python package for modular causal inference analysis and model evaluations☆779Updated last month
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Python implementation of the rulefit algorithm☆420Updated last year
- Survival analysis built on top of scikit-learn☆1,198Updated last month
- AutoML for causal inference.☆221Updated 5 months ago