<jupyter_start><jupyter_text>Run planner on surface<jupyter_code>from olympus import Planner
from olympus import Surface<jupyter_output><empty_output><jupyter_text>details on the tutorial itself<jupyter_code>from olympus import list_planners
#from olympus import list_surfaces
list_planners()
help(Surface)
surface = Surface(kind='dejong', param_dim=2)
planner = Planner(kind='Lbfgs')
campaign = planner.optimize(surface)
campaign.params
campaign.values<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08902691511387163, 'fraction_numerical': 0.002070393374741201, 'mean_word_length': 11.41025641025641, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '538204', 'license': 'MIT', 'n_tokens_mistral': 168, 'n_tokens_neox': 166, 'n_words': 33, 'path': 'examples/tutorial_simple_optimization.ipynb', 'repo_name': 'priyansh-1902/olympus', 'size': '483'}