rkw/bank-fraud-baf-lakehouse
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Initial commit: BAF Lakehouse fraud detection pipeline

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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:
Rob Wiederstein
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/baflakehouse-package.R
\docType{_PACKAGE}
\name{baflakehouse-package}
\alias{baflakehouse-package}
\title{baflakehouse: Lakehouse Workflow for the Bank Account Fraud Dataset}
\description{
Tools to ingest the Bank Account Fraud (BAF) Base dataset into a MinIO/S3-backed
lakehouse, clean encoded missing values, and produce reproducible reporting
artifacts orchestrated with targets.
}