<jupyter_start><jupyter_text>Load Dataset<jupyter_code>#load dataset
# set X,y
#### code here
X
y

#### code here

%%time
# import model to use
import model
####################################
# Use find to find best of best
####################################

model.find(X,y)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.3268608414239482, 'fraction_numerical': 0.0, 'mean_word_length': 7.378378378378378, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '483449', 'license': 'Apache-2.0', 'n_tokens_mistral': 101, 'n_tokens_neox': 97, 'n_words': 26, 'path': 'AutoML-sample.ipynb', 'repo_name': 'bigmpc/simple-automl-classification', 'size': '309'}