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20
train.sh
20
train.sh
@@ -1,23 +1,25 @@
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#!/bin/bash
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# Arguments: script_dir working_dir data_dir train_data_count validate_data_count margin
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# Arguments: script_dir working_dir data_dir train_count validate_count margin validate_iterations
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SCRIPT_DIR=${1:-"script"}
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WORKING_DIR=${2:-"."}
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DATA_DIR=${3:-"datas"}
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TRAIN_COUNT=${4:-100}
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VAL_COUNT=${5:-20}
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MARGIN=${6:-0.1}
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MARGIN=${6:-0.5}
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VAL_ITERATIONS=${7:-5}
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# 작업 디렉토리가 없으면 생성
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if [ ! -d "$WORKING_DIR" ]; then
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echo "Creating directory: $WORKING_DIR"
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echo "Creating working directory: $WORKING_DIR"
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mkdir -p "$WORKING_DIR"
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fi
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# 피처 추출 (존재 시 생략)
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if [ ! -f "$WORKING_DIR/features.json" ]; then
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echo "Extracting features..."
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bun "$SCRIPT_DIR/extract.ts" "$WORKING_DIR" "$DATA_DIR" "$TRAIN_COUNT" "$VAL_COUNT"
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# factors.json이 없으면 생성
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if [ ! -f "$WORKING_DIR/factors.json" ]; then
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echo "Factors file not found. Running factorization..."
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bun run "$SCRIPT_DIR/extract.ts" "$WORKING_DIR" "$DATA_DIR"
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fi
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echo "Training model..."
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python3 "$SCRIPT_DIR/train.py" "$SCRIPT_DIR" "$WORKING_DIR" "$DATA_DIR" "$TRAIN_COUNT" "$VAL_COUNT" "$MARGIN"
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echo "Starting training..."
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python3 "$SCRIPT_DIR/train.py" "$SCRIPT_DIR" "$WORKING_DIR" "$DATA_DIR" "$TRAIN_COUNT" "$VAL_COUNT" "$MARGIN" "$VAL_ITERATIONS"
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