View source: R/bt_leads_core_update.R
bt_leads_core_update | R Documentation |
bt_leads_core_update(
update.df = NULL,
exclude.by = "act.url",
all.covid = F,
force.create = F,
set.official = F,
destination = "b221",
incl.kanji = F,
invoke.mrs.hudson = T,
mrs.hudson.keep.results.ratio = 1,
classify.master.on = F
)
update.df |
the data frame containing leads to update. min 17 specifically named cols |
exclude.by |
unique identifier for each row; 'primary key' |
all.covid |
are these all to do with you know what |
set.official |
is the officiality of the source designated in the df? |
destination |
"b221" -> ricardo; "leads" -> main site; "parking" -> state 10; "5" -> state 5; "dpa" -> hint_type_id = 3 = dpa |
incl.kanji |
does the source include CJK chars? (kanji, hanzi, kana, hangeul) |
invoke.mrs.hudson |
use to disable mrs. h invocation |
mrs.hudson.keep.results.ratio |
the ratio of results for Mrs. H to keep. eg. 0.9 keeps 90 \itemclassify.master.onif T, runs the R-based classification system. If F, puts rel_prob as NA for the AWS stack to do it. |
Send a prepared leads.core dataframe to the ricardo database see parameter explanations for some help. bt_leads_classify_only() also available if you only want the rel probs. bt_leads_core_update("update.core", "bid", destination = "b221")
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