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Create formatted tables for tidylearn models

Source: R/tables.R
tl_table.Rd

Dispatches to the appropriate table function based on model type and requested table type. Requires the gt package.

Usage

tl_table(model, type = "auto", ...)

Arguments

model

A tidylearn model object

type

Table type (default: "auto"). For supervised models: "metrics", "coefficients", "confusion", "importance". For unsupervised models: "variance", "loadings", "clusters". MDS models are not supported.

...

Additional arguments passed to the underlying table function

Value

A gt table object.

Examples

# \donttest{
model <- tl_model(mtcars, mpg ~ wt + hp, method = "linear")
tl_table(model)



  
Model Evaluation Metrics
    
Metric
      Value
    
Rmse
2.4689
Mae
1.9015
Rsq
0.8268
tidylearn | linear (regression) | mpg ~ wt + hp | n = 32
    
tl_table(model, type = "coefficients")



  
Linear Model Coefficients
    
Term
      Estimate
      Std. Error
      t value
      p
      
    
(Intercept)
37.2273
1.5988
23.2847
2.57 × 10−20
*
wt
−3.8778
0.6327
−6.1287
1.12 × 10−6
*
hp
−0.0318
0.0090
−3.5187
1.45 × 10−3
*
tidylearn | linear (regression) | mpg ~ wt + hp | n = 32
    
# }