Displaying 2 results from an estimated 2 matches for "targetvariables".
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targetvariable
2017 Jun 15
1
(no subject)
...all("mappred", node = node, fitted = fitted, data = data, n =
as.integer(n), from = from, prob = prob, debug = debug) 2:
map.prediction(node = node, fitted = object, data = data, n =
extra.args$n, from = extra.args$from, prob = prob, debug = debug) 3:
predict.bn.fit(values10$fitted, input$targetvariables, combn2, prob =
TRUE, method = "bayes-lw") 4: predict(values10$fitted,
input$targetvariables, combn2, prob = TRUE, method = "bayes-lw") 5:
t(attr(predict(values10$fitted, input$targetvariables, combn2, prob =
TRUE, method = "bayes-lw"), "prob")) 6: observeEve...
2010 Jul 10
4
eliminating constant variables
Hi all,
I have a large data set and want to immediately build a 'blind' model
without first examining the data. Now it appears in the data there are a lot
of fields that are constant or all missing values - which prevents the model
from being built.
Can someone point me the right direction as to how I can automatically purge
my data file of these useless fields.
Thanks in advance,
pdb