Quyidagi qadamlarning asosiy ko'rinishi: CSV faylini o'qing va SMILES / SMARTS qatorlari va yorliqlarini chiqarib oling SMILES / SMARTS qatorlarini RDKit yordamida tozalang - takrorlanganlarni olib tashlang, tautomerlar / protomerlarni standartlashtiring va boshqalar LSTM modelini yarating Tozalangan ma'lumotlarga asoslanib modelni o'rgating Modellning ishlashini baholang Shunday qilib, kodda u quyidagicha ko'rinadi: import pandas as pd from rdkit import from sklearn.model_selection train import_test_split from keras.models import Sequential from keras.layers import LSTM, Dense # CSV o'qing va ma'lumotlarni chiqarib oling df = pd.read_csv' (((data.vcs') smiles = df['SMILES'
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence