TASK_COV_SIMU <- "covariance function simulation"
TASK_COV_PARM <- "covariance parameter simulation"
TASK_VAR_SIM <- "variance simulation"
TASK_VAR_EST <- "variance estimation"
TASK_TRUE_CI <- "true confidential interval simulation"
TASK_SIGN_TEST <- "signification test for models"
task <- TASK_VAR_SIM
n <- 140
dataConf <- list(name = "two_normals_classification_y_random",
type = "classification",
n = n,
y_p = 0.5,
mu0 = rep(0, 10),
mu1 = rep(1, 10),
sigma0 = diag(10),
sigma1 = 2 * diag(10)
)
cvConf <- list(name = "randommxkcv",
m = 5,
n = n,
v = 2)
algorConf <- list(name = "classificationTree",
type = "classification",
method = "anova")
conf_TASK_VAR_SIM <- list(data_rep_count = 100000,
split_rep_count = 1,
var_for_index = 1,
seq_mode = FALSE
)
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