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/train_diag_model.Rd

@@ -0,0 +1,14 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/functions.R
+\name{train_diag_model}
+\alias{train_diag_model}
+\title{Train Diagnostic Model}
+\usage{
+train_diag_model(baked_data)
+}
+\arguments{
+\item{baked_data}{Baked EDA data}
+}
+\description{
+Train Diagnostic Model
+}