% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{generate_model_inputs}
\alias{generate_model_inputs}
\title{Generate Resampled Model Inputs}
\usage{
generate_model_inputs(
  feature_prefix = "baf-fraud/04_feature/variant=Base",
  out_prefix = "baf-fraud/05_model_input",
  bucket_name = "lake"
)
}
\arguments{
\item{feature_prefix}{Character. Input prefix (e.g., "04_feature/variant=Base").}

\item{out_prefix}{Character. Output prefix base (e.g., "05_model_input").}

\item{bucket_name}{Character. Bucket name. Default "lake".}
}
\value{
Character. The output prefix (for targets dependency tracking).
}
\description{
Reads the engineered feature layer, prepares a base tidymodels recipe,
and generates resampled datasets (Baseline, Under, SMOTE, Adasyn, Tomek)
across all months, saving them to the 05_model_input prefix.
}