<jupyter_start><jupyter_text>PI new<jupyter_code>from permutationimportancephysics.PermutationImportance import PermulationImportance
pi = PermulationImportance(model=bdt, X=X_test,y=y_test,weights=weights_test,n_iterations=5000,usePredict_poba=True,
                          scoreFunction="AUC")
pi.dislayResults()
pi = PermulationImportance(model=bdt, X=X_test,y=y_test,weights=weights_test,n_iterations=5000,usePredict_poba=True,
                           scoreFunction="amsasimov")
pi.dislayResults()
plt = pi.plotBars()
plt.show()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10582010582010581, 'fraction_numerical': 0.014109347442680775, 'mean_word_length': 6.189873417721519, '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': '101398', 'license': 'MIT', 'n_tokens_mistral': 207, 'n_tokens_neox': 194, 'n_words': 18, 'path': 'Tutorial.ipynb', 'repo_name': 'aghoshpub/permutationImportancePhysics', 'size': '567'}