evalreg: Model evalreg

Description

Model evalreg

Usage

1
evalreg(dataset, pred, rvar, train = "", data_filter = "")

Arguments

dataset

Dataset name (string). This can be a dataframe in the global environment or an element in an r_data list from Radiant

pred

Predictions or predictors

rvar

Response variable

train

Use data from training ("Training"), validation ("Validation"), both ("Both"), or all data ("All") to evaluate model evalreg

data_filter

Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")

Details

See http://radiant-rstats.github.io/docs/model/evalreg.html for an example in Radiant

Value

A list of results

See Also

summary.evalreg to summarize results

plot.evalreg to plot results


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.