kapelner / ICEbox
An R package for better visualizing a statistical learning model
☆34Updated 2 years ago
Alternatives and similar repositories for ICEbox:
Users that are interested in ICEbox are comparing it to the libraries listed below
- Exploratory and diagnostic machine learning tools for R☆72Updated 3 years ago
- Information Package☆44Updated 8 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- A simpler ggplot2 syntax, saving half of your typing.☆79Updated 6 years ago
- libFM R package☆26Updated 8 years ago
- R interface to the Vowpal Wabbit☆23Updated 4 months ago
- Little R utility package for making time series data more machine learning-friendly☆49Updated 5 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆33Updated last year
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- Active Learning in R☆46Updated 7 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- exploratory data analysis using random forests☆69Updated 7 years ago
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆30Updated 3 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated 11 months ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 8 years ago
- Temporal HIErarchical Forecasting☆47Updated last year
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆25Updated 6 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆25Updated 6 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆60Updated 2 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 4 years ago
- ☆60Updated 4 years ago
- Functions for Bayesian A/B Testing Post☆24Updated 2 years ago
- ☆22Updated 7 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- ☆25Updated 7 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- ☆22Updated 5 years ago