Pages/Algorithm.py

# import streamlit as st
# import pandas as pd
# from datasets import load_dataset
# import data
# import seaborn as sns
# import tabs.machine_learning as machine_learning
# import tabs.reinforcement_learning as reinforcement_learning
# import tabs.threshold_optimization as threshold_optimization

# st.set_page_config(layout="wide")

# st.write("# Algorithm")

# @st.cache_data(show_spinner=False)
# def load_labeled_data():
#     dataset = load_dataset('skt-asap/labeled-dataset', data_files="Labeled.csv", token=data.token, streaming=True)
#     return dataset

# with st.spinner("데이터 로딩 중..."):
#     dataset = load_labeled_data()


# tab1, tab2, tab3 = st.tabs(["Threshold Optimization", "Machine Learning", "Reinforcement Learning"])

# with tab1:
#     threshold_optimization.show()
# with tab2:
#     machine_learning.show()
# with tab3:
#     reinforcement_learning.show()