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>
11 lines
386 B
R
11 lines
386 B
R
# fix R CMD check notes for dplyr non-standard evaluation
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utils::globalVariables(c(
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"fraud_bool", "outcome", "month",
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"Fraud", "Legit", "Total", "Pct_Fraud",
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"Outcome", "Month",
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"prev_address_months_count", "current_address_months_count",
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"bank_months_count", "session_length_in_minutes",
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"device_distinct_emails_8w", "device_distinct_emails",
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"intended_balcon_amount"
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))
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