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>
32 lines
783 B
R
32 lines
783 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{save_report_figure}
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\alias{save_report_figure}
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\title{Save a report figure artifact}
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\usage{
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save_report_figure(
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plot,
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filename,
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out_dir = "reports/figures",
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width = 12,
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height = 6.75,
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dpi = 300
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)
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}
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\arguments{
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\item{plot}{A ggplot object.}
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\item{filename}{Character. Output filename, e.g. \code{"fig_fraud_by_month.png"}.}
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\item{out_dir}{Character. Output directory. Default \code{"reports/figures"}.}
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\item{width, height, dpi}{Numeric. Passed to \code{ggplot2::ggsave()}.}
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}
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\value{
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Character. Normalized path to the saved file.
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}
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\description{
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Saves a ggplot object to \code{reports/figures/}.
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Intended for use in \code{targets} pipelines as a file-producing target.
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}
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