f_model_importance_pl_plots_as_html: print plots of variable importance in modelling dataframe to...

Description Usage Arguments Value See Also Examples

Description

should execute f_model_importance_pl_add_plots_regression() on modelling dataframe first

Usage

1

Arguments

pl

modelling dataframe containing the following columns 'imp_plot', 'imp_plot_dep', 'imp_tabplot', 'title'

prefix

character vector file name prefix for html files, Default: NULL

quiet

boolean, suppresses output to console by render function, Default: FALSE

Value

html files in working directory

See Also

tagList

Examples

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## Not run: 
    data_ls = f_clean_data(mtcars)
form = disp~cyl+mpg+hp
variable_color_code = f_plot_color_code_variables(data_ls)

pl = pipelearner::pipelearner(data_ls$data) %>%
 pipelearner::learn_models( rpart::rpart, form ) %>%
 pipelearner::learn_models( randomForest::randomForest, form ) %>%
 pipelearner::learn_models( e1071::svm, form ) %>%
 pipelearner::learn() %>%
 mutate( imp = map2(fit, train, f_model_importance)
         , title = paste(model, models.id, train_p) ) %>%
 f_model_importance_pl_add_plots_regression(  data                  = train
                                              , m                   = fit
                                              , ranked_variables    = imp
                                              , title               = title
                                              , response_var        = target
                                              , variable_color_code = variable_color_code
                                              , formula             = form
                                              , data_ls             = data_ls
                                              , var_dep_limit       = 10
                                              , var_dep_log_y       = T
                                              , tabplot_limit       = 12) %>%
 f_model_importance_pl_plots_as_html( prefix = 'test_oetteR_html_')

files = dir() %>%
 .[ startsWith(., 'test_oetteR_html_') ]

file.remove( files )



## End(Not run)

erblast/oetteR documentation built on May 27, 2019, 12:11 p.m.