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@ -42,7 +42,7 @@ partition(mtcars, 0.1)
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We'll generate 20 random test-training splits, and then create lists of test-training datasets:
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```{r}
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partitions <- rerun(200, partition(mtcars, 0.25))
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partitions <- rerun(20, partition(mtcars, 0.25))
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tst <- partitions %>% map(~mtcars[.x, , drop = FALSE])
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trn <- partitions %>% map(~mtcars[!.x, , drop = FALSE])
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