I'm trying to add an isolation forest model to parsnip following the guidance at https://www.tidymodels.org/learn/develop/models/.
I think I've defined the model
adm_isolation_forest and engine.
adm_isolation_forest(ntrees = 100) %>% translate(engine = "isotree")
Model Specification (anomaly_score) Main Arguments: ntrees = 100 Computational engine: isotree Model fit template: isotree::isolation.forest(data = missing_arg(), ntrees = 100)
However, when I attempt to fit the model...
model_fit <- adm_isolation_forest(ntrees = 100) %>% set_engine("isotree") %>% fit(data = train)
Error in fit.model_spec(., data = train) : argument "formula" is missing, with no default
I'm not understanding why the function expects a formula. Isolation forest is unsupervised right? Any suggestions for either a suitable formula to provide, or how to change my parsnip model definition so that it no longer requires one?