SelectedModel: Selected Model

Description Usage Arguments Details Value See Also Examples

View source: R/TrainedModels.R

Description

Model selection from a candidate set.

Usage

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SelectedModel(
  ...,
  control = MachineShop::settings("control"),
  metrics = NULL,
  stat = MachineShop::settings("stat.Trained"),
  cutoff = MachineShop::settings("cutoff")
)

Arguments

...

model functions, function names, objects, or vectors of these to serve as the candidate set from which to select, such as that returned by expand_model.

control

control function, function name, or object defining the resampling method to be employed.

metrics

metric function, function name, or vector of these with which to calculate performance. If not specified, default metrics defined in the performance functions are used. Model selection is based on the first calculated metric.

stat

function or character string naming a function to compute a summary statistic on resampled metric values for model selection.

cutoff

argument passed to the metrics functions.

Details

Response Types:

factor, numeric, ordered, Surv

Value

SelectedModel class object that inherits from MLModel.

See Also

fit, resample

Examples

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## Requires prior installation of suggested package gbm and glmnet to run

model_fit <- fit(sale_amount ~ ., data = ICHomes,
                 model = SelectedModel(GBMModel, GLMNetModel, SVMRadialModel))
(selected_model <- as.MLModel(model_fit))
summary(selected_model)

MachineShop documentation built on Aug. 20, 2021, 1:10 a.m.