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>
24 lines
351 B
YAML
24 lines
351 B
YAML
project:
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type: default
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output-dir: reports/slides
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render:
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- index.qmd
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format:
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revealjs:
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theme: simple
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slide-number: true
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incremental: true
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controls: true
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bibliography: references.bib
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csl: ieee.csl
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execute:
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echo: false
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warning: false
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message: false
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knitr:
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opts_chunk:
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out.width: "100%"
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fig.align: "center" |