Joel Therrien
fdc708dad5
Add support for making predictions without specifying training data Add support for adding trees to an existing forest Add support for toggling displayProgress Also reduced the size of the package by removing some unused dependency classes.
34 lines
No EOL
973 B
R
34 lines
No EOL
973 B
R
context("Train and predict without error")
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test_that("Competing Risks doesn't crash", {
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sampleData <- data.frame(x=rnorm(100))
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sampleData$T <- rexp(100) + abs(sampleData$x)
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sampleData$delta <- sample(0:2, size = 100, replace=TRUE)
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testData <- sampleData[1:5,]
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trainingData <- sampleData[6:100,]
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forest <- train(CR_Response(delta, T) ~ x, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2, displayProgress=FALSE)
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predictions <- predict(forest, testData)
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expect_true(T) # show Ok if we got this far
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})
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test_that("Regresssion doesn't crash", {
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sampleData <- data.frame(x=rnorm(100))
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sampleData$y <- rexp(100) + sampleData$x
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testData <- sampleData[1:5,]
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trainingData <- sampleData[6:100,]
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forest <- train(y ~ x, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2, displayProgress=FALSE)
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predictions <- predict(forest, testData)
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expect_true(T) # show Ok if we got this far
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}) |