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| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| from scipy.stats import kstest | |
| def draw_boxplot(df: pd.DataFrame): | |
| df_melted = df.melt(id_vars=["checkpoints", "label"], value_vars=["BARI", "MIRI", "ORPI"], | |
| var_name="Index", value_name="Value") | |
| print(df_melted) |
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| import nltk | |
| from nltk import * | |
| import random | |
| from nltk.corpus.reader import CategorizedPlaintextCorpusReader | |
| file = "dataset" | |
| collCategorized= CategorizedPlaintextCorpusReader(file, r'.*\.txt', cat_pattern=r'(\w+)/*',encoding="utf8") | |
| documents=[(list(collCategorized.words(fileid)), category) for category in collCategorized.categories() | |
| for fileid in collCategorized.fileids(category)] | |
| random.shuffle(documents) |