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Provides a concise summary of an lbc_net object, including sample size, training loss, local balance (LSD) in training process, and key model hyperparameters.

Usage

# S3 method for class 'lbc_net'
print(x, ...)

Arguments

x

An object of class "lbc_net", generated by lbc_net().

...

Additional arguments (ignored).

Value

Prints key training details and model parameters.

See also

Examples

if (FALSE) { # \dontrun{
model <- lbc_net(data = data, formula = Tr ~ X1 + X2 + X3 + X4)
print(model)  # Displays a concise overview
} # }