Packages by Emil Hvitfeldt

discrim — 1.0.1

Model Wrappers for Discriminant Analysis

embed — 1.1.5

Extra Recipes for Encoding Predictors

modeldatatoo — 0.3.0

More Data Sets Useful for Modeling Examples

modelenv — 0.2.0

Provide Tools to Register Models for Use in 'tidymodels'

orbital — 0.3.0

Predict with 'tidymodels' Workflows in Databases

rules — 1.0.2

Model Wrappers for Rule-Based Models

sparsevctrs — 0.2.0

Sparse Vectors for Use in Data Frames

textrecipes — 1.0.7

Extra 'Recipes' for Text Processing

themis — 1.0.3

Extra Recipes Steps for Dealing with Unbalanced Data

tidyclust — 0.2.4

A Common API to Clustering

tidypredict — 0.5.1

Run Predictions Inside the Database

yardstick — 1.3.2

Tidy Characterizations of Model Performance