一站式网上办事大厅

from transformers import pipeline
# 加载预训练的问答模型
qa_model = pipeline('question-answering', model='distilbert-base-cased-distilled-squad')
def answer_question(context, question):
result = qa_model(question=question, context=context)
return result['answer']
context = "一网通办平台旨在为师生提供便捷的服务体验。"
question = "一网通办的主要目标是什么？"
print(answer_question(context, question))

from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
import pandas as pd
# 假设我们有一个包含用户行为的数据集
data = pd.read_csv("user_behavior.csv")
X = data[['visit_count', 'service_type']]
y = data['preferred_service']
# 划分训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
# 训练随机森林分类器
clf = RandomForestClassifier()
clf.fit(X_train, y_train)
# 预测用户偏好
predictions = clf.predict(X_test)
print(predictions)