Initial commit: BAF Lakehouse fraud detection pipeline

End-to-end LightGBM fraud detection pipeline built as an R package,
orchestrated by targets with data stored in MinIO via Apache Arrow.
Includes 6-layer Lakehouse architecture, class imbalance tournament,
formally tuned hyperparameters (PR-AUC 0.198), and Quarto RevealJS slides.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-21 21:19:09 -05:00
commit 33d0fc31c7
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{render_slides}
\alias{render_slides}
\title{Render Quarto revealjs slideshow after required assets exist}
\usage{
render_slides(qmd = "index.qmd", assets, output_dir = "reports/slides")
}
\arguments{
\item{qmd}{Character. Input Quarto file (e.g. "index.qmd").}
\item{assets}{Character vector. File paths that must exist before rendering.}
\item{output_dir}{Character. Output directory for rendered slides.}
}
\value{
Character path to the rendered HTML file.
}
\description{
Render Quarto revealjs slideshow after required assets exist
}