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
499 B
R
22 lines
499 B
R
% Generated by roxygen2: do not edit by hand
|
|
% Please edit documentation in R/functions.R
|
|
\name{save_report_table}
|
|
\alias{save_report_table}
|
|
\title{Save a report table artifact}
|
|
\usage{
|
|
save_report_table(x, filename, out_dir = "reports/tables")
|
|
}
|
|
\arguments{
|
|
\item{x}{Object to save.}
|
|
|
|
\item{filename}{Output filename, e.g. "tbl_fraud_by_month.rds".}
|
|
|
|
\item{out_dir}{Output directory. Default "reports/tables".}
|
|
}
|
|
\value{
|
|
Character path to saved file.
|
|
}
|
|
\description{
|
|
Save a report table artifact
|
|
}
|