<jupyter_start><jupyter_text>https://www.stata.com/features/overview/logistic-regression/<jupyter_code>import quantmetrics
from quantmetrics.datasets import webuse
from quantmetrics.discrete_choice import logistic
webuse('lbw')
logistic()<jupyter_output>Hallo World!
{'fraction_non_alphanumeric': 0.10150375939849623, 'fraction_numerical': 0.0, 'mean_word_length': 10.125, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '68294', 'license': 'MIT', 'n_tokens_mistral': 92, 'n_tokens_neox': 89, 'n_words': 13, 'path': 'examples/logistic_regression.ipynb', 'repo_name': 'echizenn/quantmetrics', 'size': '266'}