By default function opens browser with new arena session. Appending data to
already existing session is also possible using argument append_data
run_server( arena, port = 8181, host = "127.0.0.1", open_browser = TRUE, append_data = FALSE, arena_url = "https://arena.drwhy.ai/" )
| arena | Live arena object |
|---|---|
| port | server port |
| host | server ip address (hostnames do not work yet) |
| open_browser | Whether to open browser with new session |
| append_data | Whether to append data to already existing session |
| arena_url | URL of Arena dashboard instance |
not modified arena object
library("DALEX") library("arenar") library("dplyr", quietly=TRUE, warn.conflicts = FALSE) # create a model model <- glm(m2.price ~ ., data=apartments) # create a DALEX explainer explainer <- DALEX::explain(model, data=apartments, y=apartments$m2.price)#> Preparation of a new explainer is initiated #> -> model label : lm ( default ) #> -> data : 1000 rows 6 cols #> -> target variable : 1000 values #> -> predict function : yhat.glm will be used ( default ) #> -> predicted values : numerical, min = 1781.848 , mean = 3487.019 , max = 6176.032 #> -> model_info : package stats , ver. 4.0.2 , task regression ( default ) #> -> residual function : difference between y and yhat ( default ) #> -> residuals : numerical, min = -247.4728 , mean = 2.093656e-14 , max = 469.0023 #> A new explainer has been created!# generate live arena for one model and all data as observations arena <- create_arena(live=TRUE) %>% push_model(explainer) %>% push_observations(apartments) # run the server if (interactive()) run_server(arena, port=1234)