library(MASS)
mlr_lda <- function(training_data,
y,
...) {
lda <- TaskClassif$new(id = "lda", backend = training_data, target = y)
lrn_lda <- lrn("classif.lda", ...)
lrn_lda$train(lda)
return(lrn_lda)
}
test_lda <- function(training_data,
testing_data,
y,
...) {
mlr_model <- mlr_lda(training_data, y, ...)
mlr_model_fitted <- mlr_model$model
mlr_model_predict <- mlr_model$predict_newdata(testing_data)[["response"]]
formula <- as.formula(paste(y, "~", paste(colnames(training_data[, !..y]), collapse = " + ")))
lda_model <- MASS::lda(formula, training_data, ...)
lda_predict <- unname(predict(lda_model, test_x, type = "response"))[[1]]
if (identical(mlr_model_predict, lda_predict)) {
print("lda test passed.")
} else {
stop("Warning: lda test failed.")
}
}
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