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>
35 lines
898 B
Plaintext
35 lines
898 B
Plaintext
Package: baflakehouse
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Title: Lakehouse Workflow for the Bank Account Fraud Dataset
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Version: 0.0.0.9000
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Authors@R:
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person("Rob", "Wiederstein", role = c("aut", "cre"),
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email = "REPLACE_ME@example.com")
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Description: Tools to ingest the Bank Account Fraud (BAF) Base dataset into a
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MinIO/S3-backed lakehouse, clean encoded missing values, and produce
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reproducible reporting artifacts (tables, figures, slides) orchestrated with
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targets.
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License: MIT + file LICENSE
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)
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RoxygenNote: 7.3.3
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Imports:
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arrow,
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colorspace,
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cowplot,
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dplyr,
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tidyr,
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stringr,
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readr,
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gt,
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quarto,
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ggplot2,
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bonsai
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Suggests:
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duckdb,
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targets,
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tarchetypes,
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knitr,
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scales
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URL: https://docs.robwiederstein.org/baflakehouse
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BugReports: https://git.robwiederstein.org/rkw/bank-fraud-baf-lakehouse/issues
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