<jupyter_start><jupyter_text>This is a text cell<jupyter_code># This is a code cell
import numpy as np
weight = 2
features = np.array([1,2,4])
label = np.array([10,20,40])
predictions = weight * features
error = predictions - label
error<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1198501872659176, 'fraction_numerical': 0.03745318352059925, 'mean_word_length': 6.243243243243243, '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': '452299', 'license': 'MIT', 'n_tokens_mistral': 101, 'n_tokens_neox': 96, 'n_words': 27, 'path': 'notebooks/visual_intro_to_ml/Hello_NumPy,_Jupyter,_and_Colab.ipynb', 'repo_name': 'tom-doerr/jalammar.github.io', 'size': '267'}