loft-br / xgboost-survival-embeddingsLinks
Improving XGBoost survival analysis with embeddings and debiased estimators
☆342Updated last year
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☆366Updated last year
- Python package for Imputation Methods☆251Updated last year
- Fast SHAP value computation for interpreting tree-based models☆546Updated 2 years ago
- Multiple Imputation with LightGBM in Python☆398Updated last month
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆351Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆641Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆582Updated last year
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆501Updated last month
- Survival analysis built on top of scikit-learn☆1,246Updated last week
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago
- An extension of XGBoost to probabilistic modelling☆670Updated 2 weeks ago
- A power-full Shapley feature selection method.☆211Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 10 months ago
- Time should be taken seer-iously☆319Updated 2 years ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆616Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- A set of data tools in Python☆508Updated 2 weeks ago
- Experiments on Tabular Data Models☆282Updated 2 years ago
- Python implementation of the rulefit algorithm☆425Updated 2 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Updated 7 months 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
- Phi_K correlation analyzer library☆167Updated last week
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated 2 years ago
- Python package for Gower distance☆80Updated last year
- Python Accumulated Local Effects package☆169Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- ☆289Updated 2 years ago
- TabNet for fastai☆124Updated 2 months ago
- An extension of LightGBM to probabilistic modelling☆345Updated last week