<jupyter_start><jupyter_text>Check and if needed install NimbusML package (might take 1 to 7 mins)<jupyter_code>import sys
!{sys.executable.replace('python', 'pip') + ' install --upgrade nimbusml'}
print("wheel installed.")
# check version
import nimbusml
print (nimbusml.__version__)
# 1.0.0

# copy files to faster disk storage
!mkdir /home/nbuser/local
!cp -R Part3 /home/nbuser/local
print("copy done.")

# run quick tests
cmd = sys.executable + ' -m nimbusml.examples.FastLinearClassifier'
!{cmd}
print("tests ok.")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13272727272727272, 'fraction_numerical': 0.01090909090909091, 'mean_word_length': 5.559523809523809, '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': '546482', 'license': 'MIT', 'n_tokens_mistral': 201, 'n_tokens_neox': 191, 'n_words': 52, 'path': 'Install.ipynb', 'repo_name': 'zurCocaP/NimbusML-Presentation', 'size': '550'}