청년취업사관학교1 81th_1_5(Fr)_RNN 예측 및 자연어처리 RNN 전력량 예측 import torch import torch.nn as nn import numpy as np import pandas as pd import matplotlib.pyplot as plt from torch.utils.data import TensorDataset, DataLoader, Subset from sklearn.model_selection import train_test_split df = pd.read_csv('C:\\Users\\kimye\\OneDrive\\바탕 화면\\sba\\household_power_consumption.txt', sep = ';', low_memory=False, parse_dates={'dt':['Date', 'Time']}, index_.. 2024. 1. 8. 이전 1 다음
