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
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#' baflakehouse: Lakehouse Workflow for the Bank Account Fraud Dataset
#'
#' 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.
#'
#' @docType _PACKAGE
#' @name baflakehouse-package
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