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loaddatagenerator_sample's Introduction

1. Requirements

  • python >= 3.8
  • tensorflow 2.8.0
  • scikit-learn 1.0.2
  • pandas 2.0.3
  • numpy 1.24.5
  • pydantic 2.3.0
  • pydantic-settings 2.0.3
  • beanie 1.21.0
  • tqdm 4.66.1
  • protobuf 3.19.6

install

pip install -r requirements.txt

2. Description

dev.env (KOR)

# TimeGan Default Setting
# 1 이나 2 설정하면 됩니다.
DATA_TYPE=1
# 초 S, 분 T
FREQ=S

# 데이터베이스 세팅
# 테스트를 하려면 DB_TEST를 True로 설정하시면 됩니다
DB_TEST=True
DB_URI=mongodb://127.0.0.1:27017/

# DB_TEST가 False시 설정합니다. 
DB_USER=dev
DB_PWD=dev123
DB_HOST=127.0.0.1:27017
DB_DATABASE=DataGenerated
DB_COLLECTION=DataGenerated{GEN_TYPE}

# 경로를 설정합니다. 상대경로도 지원합니다.
SCALE_PATH=./models/${GEN_TYPE}/scale.pkl
MODEL_PATH=./models/${GEN_TYPE}/synthetic_data

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