bgreenwell / pdpLinks
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
☆98Updated 3 years ago
Alternatives and similar repositories for pdp
Users that are interested in pdp are comparing it to the libraries listed below
Sorting:
- Bayesian comparisons of models using resampled statistics☆102Updated 4 months ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- An R package for common supervised machine learning metrics.☆102Updated 6 years ago
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- Model Agnostics breakDown plots☆104Updated last year
- Padding of missing records in time series☆138Updated last year
- fable extension for the prophet forecasting procedure☆57Updated 2 years ago
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 3 years ago
- An R package to create and visualise fast-and-frugal decision trees (FFTs)☆137Updated 3 months ago
- Use dplyr verbs to build data.table expressions☆66Updated 2 years ago
- xray: The R Package to have X Ray vision on your datasets☆77Updated 8 years ago
- Simplifies plotting of database and sparklyr data☆124Updated 5 years ago
- A simple hello world R-docker example☆52Updated 6 years ago
- Making imputation easy☆92Updated last year
- Tidy machine learning pipelines☆134Updated 8 years ago
- Tools at the intersection of purrr and dplyr☆102Updated 3 months ago
- Package: R Interface to AutoKeras☆73Updated 4 years ago
- seasonal adjustment on the fly extension for ggplot2☆76Updated 6 months ago
- Extra recipes for predictor embeddings☆143Updated 3 weeks ago
- Data Wrangling and Query Generating Operators for R. Distributed under choice of GPL-2 or GPL-3 license.☆110Updated 2 years ago
- The most recent version of the Applied Machine Learning notes☆101Updated 2 years ago
- R Package 📦 for initializing projects for various R activities☆123Updated 5 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- Run models inside a database using R☆79Updated last month
- An R interface to the Python module Featuretools☆50Updated 5 years ago
- data.frame-based API for model and predict functions☆60Updated 8 years ago
- Materials for getting to the know the R package purrr☆115Updated 6 years ago
- Forecasting workshop for ACEMS 2018☆37Updated 7 years ago
- An interactive free online short course on the drake R package☆145Updated 4 years ago
- Tools for creating tuning parameter values☆116Updated 3 weeks ago