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☆368Updated last year
- Python package for Imputation Methods☆251Updated last year
- Multiple Imputation with LightGBM in Python☆402Updated 2 months ago
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆354Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆641Updated last year
- Fast SHAP value computation for interpreting tree-based models☆549Updated 2 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆506Updated this week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆659Updated 11 months ago
- A power-full Shapley feature selection method.☆211Updated 2 months ago
- Hierarchical Time Series Forecasting with a familiar API☆226Updated 2 years ago
- An extension of XGBoost to probabilistic modelling☆679Updated 2 weeks ago
- Time should be taken seer-iously☆319Updated 2 years ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆469Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- Survival analysis built on top of scikit-learn☆1,255Updated this week
- TabNet for fastai☆124Updated 3 months ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Updated 8 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆674Updated 10 months ago
- AutoML for causal inference.☆233Updated last year
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆618Updated last year
- Leave One Feature Out Importance☆854Updated 10 months ago
- An extension of LightGBM to probabilistic modelling☆350Updated 2 weeks ago
- Experiments on Tabular Data Models☆281Updated 2 years ago
- Python implementation of Density-Based Clustering Validation☆178Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆535Updated last week
- ☆290Updated 2 years ago
- Python implementation of the rulefit algorithm☆432Updated 2 years ago