PhilippPro / tunability
☆8Updated 5 years ago
Alternatives and similar repositories for tunability:
Users that are interested in tunability are comparing it to the libraries listed below
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 5 years ago
- Statistical Inference for Random Forests☆19Updated 5 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆16Updated last month
- The xyz algorithm for fast interaction search in high-dimensional data.☆12Updated 7 years ago
- ☆31Updated 8 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- An R package "rfinterval": Predictive Inference on Random Forests☆13Updated 5 years ago
- Triplot: Instance- and data-level explanations for the groups of correlated features.☆9Updated 3 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆12Updated 2 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆31Updated 4 months ago
- Fit Lasso model to binary rules created from tree ensembles☆11Updated 7 years ago
- ☆31Updated 2 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆19Updated 11 months ago
- R package to compute distribution-free prediction bands using density estimators☆8Updated 3 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- ☆13Updated 6 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 5 years ago
- ☆12Updated 4 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated 9 months ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆12Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- statistical models to analyze diagnostic tests☆15Updated 4 years ago
- Implementation of GP-BART algorithm.☆15Updated last year
- An R package for better visualizing a statistical learning model☆34Updated 2 years ago
- An R package to assess feature importance☆33Updated 3 years ago
- ☆10Updated 2 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 3 years ago
- a faster arff parser☆12Updated 3 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆19Updated 2 years ago