train_predict: Create predictions given a resample and a recipe.

In artichaud1/tidygrid: A package for Tidy Hyperparameter Tuning

Description

This is a generic function. Plug your custom 'scoring_func'.

Usage

train_predict(split, rec, params, target_var, scoring_func, ...)

Arguments

split	A single split object. See 'rsample' package.
rec	Recipe. *Must have been prepped using 'retain = TRUE'. See 'recipes' package.
params	List of parameters passed to the 'scoring_func' function.
target_var	Name of the target variable in the resample.
scoring_func	Your custom train/predict/score function.
...	Optional params passed to scoring_func.

Details

'scoring_func' cab return a single score as a numeric vector, or multiple scores in a data.frame.

Value

A data.frame with columns 'target' and 'predicted'.

artichaud1/tidygrid documentation built on May 10, 2019, 9:28 a.m.