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>

man/save_report_table.Rd

@@ -0,0 +1,21 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/functions.R
+\name{save_report_table}
+\alias{save_report_table}
+\title{Save a report table artifact}
+\usage{
+save_report_table(x, filename, out_dir = "reports/tables")
+}
+\arguments{
+\item{x}{Object to save.}
+
+\item{filename}{Output filename, e.g. "tbl_fraud_by_month.rds".}
+
+\item{out_dir}{Output directory. Default "reports/tables".}
+}
+\value{
+Character path to saved file.
+}
+\description{
+Save a report table artifact
+}