Rob Wiederstein
df978d042f
All functions now default to bucket_name = "lake" with "baf-fraud/" prepended to all layer prefixes, matching the contemporary lakehouse naming convention (one bucket per environment, project as prefix). Migration: copy baf-fraud/ data to lake/baf-fraud/ on analyticsvm, update BAF_BUCKET env var from "baf-fraud" to "lake". Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
28 lines
839 B
R
28 lines
839 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{evaluate_final_model}
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\alias{evaluate_final_model}
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\title{Final Model Evaluation (Months 6 & 7)}
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\usage{
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evaluate_final_model(
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params,
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bucket_name = "lake",
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inputs_prefix = "baf-fraud/05_model_input"
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)
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}
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\arguments{
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\item{params}{A named list of LightGBM hyperparameters with elements:
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\code{trees}, \code{tree_depth}, \code{learn_rate}, \code{loss_reduction}, \code{min_n}.}
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\item{bucket_name}{Character. Bucket name. Default "lake".}
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\item{inputs_prefix}{Character. Model input prefix. Default "05_model_input".}
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}
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\value{
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A tibble with columns \code{truth}, \code{prob}, and \code{pred_class}.
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}
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\description{
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Trains the winning strategy on the full training set (Months 0-5)
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and evaluates it on the unseen test set (Months 6-7).
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}
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