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# DiOodMi 학습 설정 예시
# 사용법: hae train --config train.yaml
#
# 이 파일을 train.yaml로 복사한 후 경로를 수정하세요:
#   cp train.yaml.example train.yaml

version: "1.0"

# =============================================================================
# 데이터셋 설정

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def find_optimal_threshold(y_true, y_scores, priority='sensitivity', min_value=0.95):
    """
    Find optimal threshold with constrained optimization.
    
    Parameters
    ----------
    y_true : array-like
        Ground truth labels (0 or 1)
    y_scores : array-like
        Predicted probabilities or continuous scores

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#!/usr/bin/env python3
"""
Prediction Analyzer Script for MVTec-style Prediction Results

This script analyzes image predictions organized in folder structures,
generates summary CSVs, confusion matrices, and performance metrics.

Usage:
    python analyze_predictions.py --predictions-dir /path/to/predictions
"""

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Consolidated Anomaly Detector with Batched TTA

This module provides a modern, consolidated implementation of anomaly detection
with DeCo-Diff using efficient batched Test-Time Augmentation (TTA).

Key Features:
- Combined Batch TTA: Processes B images × N shifts together (~6.6× speedup)

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{ lib, config, options, pkgs, ... }:
with lib;
let cfg = config.services.chrome-remote-desktop;
in {
  options.services.chrome-remote-desktop = {
    enable = mkEnableOption "Chrome Remote Desktop";
    user = mkOption {
      type = types.str;
      description = ''
        A user which the service will run as.