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>
23 lines
671 B
R
23 lines
671 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{connect_baf}
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\alias{connect_baf}
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\title{Connect to BAF dataset on MinIO (Arrow or DuckDB)}
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\usage{
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connect_baf(prefix, bucket_name = Sys.getenv("BAF_BUCKET"), use_duckdb = TRUE)
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}
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\arguments{
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\item{prefix}{Character. Dataset prefix inside the bucket
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(e.g., "02_intermediate/variant=Base").}
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\item{bucket_name}{Character. Bucket name. Defaults to env var BAF_BUCKET.}
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\item{use_duckdb}{Logical. If TRUE, return a DuckDB-backed lazy tbl.}
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}
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\value{
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An Arrow Dataset (default) or a DuckDB-backed lazy table.
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}
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\description{
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Connect to BAF dataset on MinIO (Arrow or DuckDB)
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}
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