| from nets.opti.blackbox import Hyper | |
| import streamlit as st | |
| with open('bb.md','r+') as f: | |
| st.markdown(f.read(),unsafe_allow_html=True) | |
| st.code('from nets.opti.blackbox import Hyper') | |
| st.code('api = Hyper(**kwargs)') | |
| api = Hyper() | |
| st.code('api.start_study(n_trials=n,neptune_id,neptune_api)') | |
| run = None | |
| def study(): | |
| run = api.start_study(50) | |
| st.success('Study Finished!',icon='✅') | |
| st.markdown('### :orange[Most recent run:]') | |
| st.write(run[0]) | |
| st.write(run[1]) | |
| st.write(run[2]) | |
| st.write(run[3]) | |
| if st.button('Start study',use_container_width=True): | |
| st.info('Study is running',icon='🔄') | |
| study() | |