sparsity_count {PIE} | R Documentation |
sparsity_count
Description
This function counts the number of features used in group lasso of PIE model.
Usage
sparsity_count(Betas, lasso_group)
Arguments
Betas |
The coefficient of group lasso model. |
lasso_group |
The group indicator for group lasso model |
Value
An integer: The number of features used in group lasso
Examples
# Load the training data
data("winequality")
# Which columns are numerical?
num_col <- 1:11
# Which columns are categorical?
cat_col <- 12
# Which column is the response?
y_col <- ncol(winequality)
# Data Processing (the first 200 rows are sampled for demonstration)
dat <- data_process(X = as.matrix(winequality[1:200, -y_col]),
y = winequality[1:200, y_col],
num_col = num_col, cat_col = cat_col, y_col = y_col)
# Fit a PIE model
fold <- 1
fit <- PIE_fit(
X = dat$spl_train_X[[fold]],
y = dat$train_y[[fold]],
lasso_group = dat$lasso_group,
X_orig = dat$orig_train_X[[fold]],
lambda1 = 0.01, lambda2 = 0.01, iter = 5, eta = 0.05, nrounds = 200
)
# Sparsity count
sparsity_count(fit$Betas, dat$lasso_group)
[Package PIE version 1.0.0 Index]