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>
15 lines
296 B
R
15 lines
296 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{train_diag_model}
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\alias{train_diag_model}
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\title{Train Diagnostic Model}
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\usage{
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train_diag_model(baked_data)
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}
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\arguments{
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\item{baked_data}{Baked EDA data}
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}
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\description{
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Train Diagnostic Model
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}
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