largeRCRF/tests/testthat/test_predicting_training_data.R

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context("Predict without re-specifying training data")
test_that("Can predict without new data", {
trainingData <- data.frame(x=rnorm(100))
trainingData$T <- rexp(100) + abs(trainingData$x)
trainingData$delta <- sample(0:2, size = 100, replace=TRUE)
forest <- train(CR_Response(delta, T) ~ x, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2, displayProgress=FALSE)
predictions <- predict(forest)
expect_true(T) # show Ok if we got this far
})
test_that("Can connect new data", {
trainingData <- data.frame(x=rnorm(100))
trainingData$T <- rexp(100) + abs(trainingData$x)
trainingData$delta <- sample(0:2, size = 100, replace=TRUE)
forest <- train(CR_Response(delta, T) ~ x, trainingData, ntree=50, numberOfSplits=0, mtry=1, nodeSize=5, cores=2, displayProgress=FALSE)
forest$dataset <- NULL
forest <- connectToData(forest, CR_Response(trainingData$delta, trainingData$T), trainingData)
predictions <- predict(forest)
expect_true(T) # show Ok if we got this far
})