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>
22 lines
636 B
R
22 lines
636 B
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/functions.R
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\name{render_slides}
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\alias{render_slides}
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\title{Render Quarto revealjs slideshow after required assets exist}
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\usage{
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render_slides(qmd = "index.qmd", assets, output_dir = "reports/slides")
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}
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\arguments{
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\item{qmd}{Character. Input Quarto file (e.g. "index.qmd").}
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\item{assets}{Character vector. File paths that must exist before rendering.}
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\item{output_dir}{Character. Output directory for rendered slides.}
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}
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\value{
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Character path to the rendered HTML file.
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}
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\description{
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Render Quarto revealjs slideshow after required assets exist
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}
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