ModelOriented / DALEX-docsLinks
Documentation for the DALEX project
☆36Updated last year
Alternatives and similar repositories for DALEX-docs
Users that are interested in DALEX-docs are comparing it to the libraries listed below
Sorting:
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆48Updated 5 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- Model Agnostics breakDown plots☆103Updated last year
- Model verification, validation, and error analysis☆58Updated last year
- An R wrapper of SHAP python library☆58Updated 2 years ago
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 5 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- Extensions for the DALEX package☆67Updated last year
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 6 years ago
- Hierarchical and Grouped Time Series☆111Updated 8 months ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 6 years ago
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- Composable Preprocessing Operators for MLR☆37Updated 2 months ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- An R package to assess feature importance☆33Updated 4 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 6 months ago
- Automated Feature Selection☆65Updated 6 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- Variable Importance Plots (VIPs)☆189Updated last year
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- Fast approximate Shapley values in R☆125Updated 3 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- Temporal HIErarchical Forecasting☆48Updated 2 years ago
- An R interface to the Python module Featuretools☆50Updated 5 years ago