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 <- 1024
dataConf <- list(name = "two_class_YU_example_2_1",
type = "classification",
n = n,
d = 300
)
cvConf <- list(name = "balancedmx2cv",
m = 3,
n = n)
algorConf <- list(name = "classificationTree",
type = "classification",
method = "anova")
conf_TASK_VAR_SIM <- list(data_rep_count = 100000,
split_rep_count = 100,
var_for_index = 0,
seq_mode = FALSE
)
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