model_save | R Documentation |
Saves already fitted insuRglm model for later use, which might be comparison using model_compare
or
returning back to a previous model using model_revert
.
model_save(setup, name = NULL)
setup |
Setup object. Created at the start of the workflow. Usually piped in from previous step. |
name |
Character scalar. Model will be saved under this name. |
Setup object with updated attributes.
model_compare
, model_revert
require(dplyr) # for the pipe operator data('sev_train') setup <- setup( data_train = sev_train, target = 'sev', weight = 'numclaims', family = 'gamma', keep_cols = c('pol_nbr', 'exposure', 'premium') ) modeling <- setup %>% factor_add(pol_yr) %>% factor_add(agecat) %>% model_fit() %>% model_save('model1') %>% factor_modify(agecat = variate(agecat, type = 'non_prop', mapping = c(1, 2, 3, 4, 5, 6))) %>% model_fit() modeling %>% model_compare(with = 'model1')
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