Rob Wiederstein
33d0fc31c7
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>
10 lines
336 B
R
10 lines
336 B
R
#' 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
|
|
NULL
|