Quyidagi misollardan foydalanib, qanday qilib PyTorch yordamida oddiy regressiya modelini yaratishingiz mumkin: `` python import torch import torch.nn as nn import pandas as pd from sklearn.preprocessing import StandardScaler # Ma'lumotni yuklash = pd.read_csv (('impressions_data.csv') # Xususiyatlarni va maqsadli o'zgaruvchilarni belgilash features = ['date', 'clicks'] target = ['impressions'] # Ma'lumotni ta'lim va sinovlarga bo'lishish train_data = data.sample{\displaystyle \sqrt{\displaystyle \sqrt{\displaystyle \sqrt{\mathrm {r} }={\displaystyle \sqrt{\mathrm {sqrt{\mathrm {sqrt}
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