Model Tuning Grid Expansion
Expand a model grid of tuning parameter values.
expand_modelgrid(x, ...) ## S3 method for class 'formula' expand_modelgrid(x, data, model, info = FALSE, ...) ## S3 method for class 'matrix' expand_modelgrid(x, y, model, info = FALSE, ...) ## S3 method for class 'ModelFrame' expand_modelgrid(x, model, info = FALSE, ...) ## S3 method for class 'recipe' expand_modelgrid(x, model, info = FALSE, ...) ## S3 method for class 'TunedModel' expand_modelgrid(x, ..., info = FALSE)
x |
input specifying a relationship between model
predictor and response variables. Alternatively, a
|
... |
arguments passed to other methods. |
data |
data frame containing observed predictors and outcomes. |
model |
|
info |
logical indicating whether to return model-defined grid construction information rather than the grid values. |
y |
response variable. |
The expand_modelgrid function enables manual extraction and viewing of
grids created automatically when a TunedModel is fit.
A data frame of parameter values or NULL if data are required
for construction of the grid but not supplied.
expand_modelgrid(TunedModel(GBMModel, grid = 5))
expand_modelgrid(TunedModel(GLMNetModel, grid = c(alpha = 5, lambda = 10)),
sale_amount ~ ., data = ICHomes)
gbm_grid <- ParameterGrid(
n.trees = dials::trees(),
interaction.depth = dials::tree_depth(),
size = 5
)
expand_modelgrid(TunedModel(GBMModel, grid = gbm_grid))
rf_grid <- ParameterGrid(
mtry = dials::mtry(),
nodesize = dials::max_nodes(),
size = c(3, 5)
)
expand_modelgrid(TunedModel(RandomForestModel, grid = rf_grid),
sale_amount ~ ., data = ICHomes)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.