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>
12 lines
463 B
R
12 lines
463 B
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/baflakehouse-package.R
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\docType{_PACKAGE}
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\name{baflakehouse-package}
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\alias{baflakehouse-package}
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\title{baflakehouse: Lakehouse Workflow for the Bank Account Fraud Dataset}
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\description{
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Tools to ingest the Bank Account Fraud (BAF) Base dataset into a MinIO/S3-backed
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lakehouse, clean encoded missing values, and produce reproducible reporting
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artifacts orchestrated with targets.
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}
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