你能在网络上找到有关离散制造行业产品物料需求智能预测题目的python代码嘛

当然可以，以下是一个简单的离散制造行业产品物料需求智能预测的Python代码示例： ```python import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error # 读取数据集 data = pd.read_csv('manufacturing_data.csv') # 数据预处理 data['date'] = pd.to_datetime(data['date']) data['year'] = data['date'].dt.year data['month'] = data['date'].dt.month data['day'] = data['date'].dt.day data.drop(['date'], axis=1, inplace=True) # 划分训练集和测试集 X = data.drop(['demand'], axis=1) y = data['demand'] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # 线性回归模型 model = LinearRegression() model.fit(X_train, y_train) # 预测结果 y_pred = model.predict(X_test) # 模型评估 mse = mean_squared_error(y_test, y_pred) rmse = np.sqrt(mse) print("RMSE:", rmse) ``` 请注意，这只是一个简单的示例，实际上，离散制造行业产品物料需求智能预测需要更复杂的算法和数据处理技术。