test_that("correct predictions", {
# I test that the correlation in the test data of the predicted stability
# and the observed should be at least .3
# get a sample of the data
human_data <- testing %>%
dplyr::filter(specie == "human", datatype == "slam-seq") %>%
dplyr::slice(1:50)
# drop duplicate sequences in case there is
human_data <- human_data[!duplicated(human_data$coding), ]
predictor_human <- predict_stability("human")
human_data$prediction <- predictor_human(human_data$coding)
f_corr <- cor(human_data$prediction, human_data$decay_rate)**2
expect_true(f_corr > .1)
})
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