context("Check block_gp function")
data("two_species_model")
block <- two_species_model[1:200, ]
test_that("block_gp works", {
expect_error(output <- block_gp(block, columns = c("x", "y"),
phi = 0.5,
v_e = seq(from = -300, to = 300, by = 50),
eta = 7,
fit_params = FALSE,
first_column_time = TRUE, silent = TRUE),
NA)
expect_s3_class(output, "data.frame")
expect_true("embedding" %in% names(output))
expect_true("tp" %in% names(output))
expect_true("phi" %in% names(output))
expect_true("v_e" %in% names(output))
expect_true("eta" %in% names(output))
expect_true("fit_params" %in% names(output))
expect_true("num_pred" %in% names(output))
expect_true("rho" %in% names(output))
expect_true("mae" %in% names(output))
expect_true("rmse" %in% names(output))
expect_equal(NROW(output), 13)
expect_known_hash(round(output$rho, 4), "00056d3065")
})
test_that("block_gp handels 1 prediction", {
expect_error(output <- block_gp(block,
lib = c(1, 50),
pred = c(50, 51),
columns = "x",
phi = -12.812,
v_e = 1.975,
eta = -0.576,
fit_params = FALSE,
stats_only = FALSE),
NA)
expect_s3_class(output, "data.frame")
expect_true("model_output" %in% names(output))
expect_true(is.list(output$model_output))
expect_error(model_output <- output$model_output[[1]], NA)
expect_s3_class(model_output, "data.frame")
expect_true("time" %in% names(model_output))
expect_true("obs" %in% names(model_output))
expect_true("pred" %in% names(model_output))
expect_true("pred_var" %in% names(model_output))
expect_equal(dim(model_output), c(1, 4))
expect_known_hash(round(model_output, 4), "a824dc28bd")
})
test_that("block_gp model_output works", {
expect_error(output <- block_gp(block, columns = c("x", "y"),
fit_params = TRUE,
phi = 0.5, v_e = -170, eta = 7,
first_column_time = TRUE,
stats_only = FALSE,
silent = TRUE),
NA)
expect_s3_class(output, "data.frame")
expect_true("model_output" %in% names(output))
expect_true(is.list(output$model_output))
expect_error(model_output <- output$model_output[[1]], NA)
expect_s3_class(model_output, "data.frame")
expect_true("time" %in% names(model_output))
expect_true("obs" %in% names(model_output))
expect_true("pred" %in% names(model_output))
expect_true("pred_var" %in% names(model_output))
expect_equal(dim(model_output), c(199, 4))
expect_known_hash(round(model_output, 4), "412915324b")
})
test_that("block_gp covariance matrix works", {
expect_error(output <- block_gp(block, columns = c("x", "y"),
phi = 0.5, v_e = -170, eta = 7,
first_column_time = TRUE,
save_covariance_matrix = TRUE,
silent = TRUE),
NA)
expect_s3_class(output, "data.frame")
expect_true("model_output" %in% names(output))
expect_true(is.list(output$model_output))
expect_true("covariance_matrix" %in% names(output))
expect_true(is.list(output$covariance_matrix))
expect_error(covariance_matrix <- output$covariance_matrix[[1]], NA)
expect_is(covariance_matrix, "matrix")
expect_equal(dim(covariance_matrix), c(199, 199))
expect_known_hash(round(covariance_matrix, 4), "df5a7a72ab")
})
test_that("block_gp works on multivariate time series", {
expect_error(output <- block_gp(EuStockMarkets[1:300, ], columns = c("DAX", "SMI"),
target_column = "CAC",
phi = 0.5, v_e = 0.005, eta = 100,
stats_only = FALSE,
silent = TRUE),
NA)
model_output <- round(output$model_output[[1]], 4)
expect_known_hash(model_output, "5b6e433b50")
output <- output[, !(names(output) %in% "model_output")]
output <- data.frame(lapply(output, function(y)
if (is.numeric(y)) round(y, 4) else y))
attributes(output) <- attributes(output)[sort(names(attributes(output)))]
expect_known_hash(output, "e950f04518")
})
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