What is the "contamination" parameter in the isolation.forest function of the isotree package in R?
https://www.rdocumentation.org/packages/isotree/versions/0.1.24/topics/isolation.forest
isolation.forest(
df,
sample_weights = NULL,
column_weights = NULL,
sample_size = NROW(df),
ntrees = 500,
ndim = min(3, NCOL(df)),
ntry = 3,
max_depth = ceiling(log2(sample_size)),
prob_pick_avg_gain = 0,
prob_pick_pooled_gain = 0,
prob_split_avg_gain = 0,
prob_split_pooled_gain = 0,
min_gain = 0,
missing_action = ifelse(ndim > 1, "impute", "divide"),
new_categ_action = ifelse(ndim > 1, "impute", "weighted"),
categ_split_type = "subset",
all_perm = FALSE,
coef_by_prop = FALSE,
recode_categ = TRUE,
weights_as_sample_prob = TRUE,
sample_with_replacement = FALSE,
penalize_range = TRUE,
weigh_by_kurtosis = FALSE,
coefs = "normal",
assume_full_distr = TRUE,
build_imputer = FALSE,
output_imputations = FALSE,
min_imp_obs = 3,
depth_imp = "higher",
weigh_imp_rows = "inverse",
output_score = FALSE,
output_dist = FALSE,
square_dist = FALSE,
random_seed = 1,
handle_interrupt = TRUE,
nthreads = parallel::detectCores()
)