Nothing
## test-cv_misvm --------------------------------------------------------------#
set.seed(8)
train_mild_df <- generate_mild_df(
nbag = 20,
nsample = 20,
ncov = 3,
nimp_pos = 1, nimp_neg = 1,
positive_prob = 0.15,
dist = rep("mvnormal", 3),
mean = list(2, 0, 0),
sd_of_mean = rep(0.1, 3)
)
train_df <- train_mild_df %>%
summarize_samples() %>%
dplyr::select(-instance_name)
set.seed(9)
test_mild_df <- generate_mild_df(
nbag = 40,
nsample = 20,
ncov = 3,
nimp_pos = 1, nimp_neg = 1,
dist = rep("mvnormal", 3),
mean = list(2, 0, 0),
sd_of_mean = rep(0.1, 3)
)
test_df <- test_mild_df %>%
summarize_samples() %>%
dplyr::select(-instance_name)
saveRDS(train_mild_df, test_path("fixtures", "misvm-train_mild_df.rds"))
saveRDS(train_df, test_path("fixtures", "misvm-train_df.rds"))
saveRDS(test_mild_df, test_path("fixtures", "misvm-test_mild_df.rds"))
saveRDS(test_df, test_path("fixtures", "misvm-test_df.rds"))
## test-mismm -----------------------------------------------------------------#
set.seed(8)
train_mild_df <- generate_mild_df(
nbag = 8,
nsample = 4,
ninst = 2,
ncov = 3,
nimp_pos = 1, nimp_neg = 1,
dist = rep("mvnormal", 3),
mean = list(15, 0, 0)
)
set.seed(9)
test_mild_df <- generate_mild_df(
nbag = 20,
nsample = 4,
ninst = 2,
ncov = 3,
nimp_pos = 1, nimp_neg = 1,
dist = rep("mvnormal", 3),
mean = list(15, 0, 0)
)
saveRDS(train_mild_df, test_path("fixtures", "mimmm-train_mild_df.rds"))
saveRDS(test_mild_df, test_path("fixtures", "mimmm-test_mild_df.rds"))
## test-omisvm ----------------------------------------------------------------#
# make data smaller for fast testing
data("ordmvnorm")
df <- ordmvnorm %>%
dplyr::filter(bag_label %in% c(1:3))
train <- df$bag_name %in% unique(df$bag_name)[1:10]
train_df <- df[train, ]
attr(train_df, "instance_label") <- NULL
test_df <- df[!train, ]
saveRDS(train_df, test_path("fixtures", "omisvm-train_df.rds"))
saveRDS(test_df, test_path("fixtures", "omisvm-test_df.rds"))
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