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{format_fraud_by_month_gt}
\alias{format_fraud_by_month_gt}
\title{Format fraud-by-month table as a gt object}
\usage{
format_fraud_by_month_gt(x)
}
\arguments{
\item{x}{Tibble from compute_fraud_by_month().}
}
\value{
A gt table.
}
\description{
Format fraud-by-month table as a gt object
}