<jupyter_start><jupyter_text>This demos featuretools uses information upto(<=) cutoff timeWe can see users has total amount 1100, which includes transaction upto '2014-01-02 08:00:50'<jupyter_code>fm, features = ft.dfs(entityset=es,
                     target_entity='users',
                     cutoff_time=ct,
                     cutoff_time_in_index=True)
fm<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08883248730964467, 'fraction_numerical': 0.04568527918781726, 'mean_word_length': 3.202127659574468, 'pattern_counts': {'":': 0, '<': 6, '<?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': '596652', 'license': 'MIT', 'n_tokens_mistral': 139, 'n_tokens_neox': 121, 'n_words': 27, 'path': 'notebooks/featuretools/fs-synth-test.ipynb', 'repo_name': 'taohu88/ninjia', 'size': '394'}