GetPredictionsForStacking: A helper function to get predictions added to a dataset.

In orionw/BestModel: A package to run and compare standard machine learning models with easy visualization

Description

A helper function to get predictions added to a dataset.

Usage

GetPredictionsForStacking(models, x.values)

Arguments

models	The models that will add their predictions to the DataFrame.
x.values	The DataFrame that will be added on too and predicted on.

Value

The given DataFrame (x.values) with an additional column of predictions for each model given.

Examples

iris <- PrepareIris()
x.values = iris[, 1:4]
# create the models
comp <- GetModelComparisons(x.values, iris[,5])
# get the new dataframe
df.for.stacking <- GetPredictionsForStacking(comp$model.list, x.values)

orionw/BestModel documentation built on Aug. 17, 2019, 7:29 p.m.