HN 用户提问：你愿意付费获得创建预测模型的能力吗？
1 分•作者: juanviera23•9 个月前
示例：
1. 您正在构建一个机票预订平台，希望为用户提供未来 30 天内机票价格涨跌的预测。
2. 您拥有一家零售商店，希望构建一个内部仪表盘，根据您上个月的销售情况，预测下周需要购买多少种类型的商品。
3. 您正在构建一个房地产投资平台，希望它能通知用户未来 5 年内房地产价格的变化（基于平方米、距离、位置等因素）。
问题：
您希望为正在构建的应用程序或平台添加预测功能。
然而，您对构建和部署生产级机器学习模型了解不多。
如果有一个平台可以自动为您训练和部署机器学习模型，那会怎么样？
解决方案：
我们建议使用一个氛围编码平台（如 https://lovable.dev/）。
旨在赋能普通用户，无需了解任何相关知识，即可训练和部署机器学习模型到生产环境。
我们应该构建它吗？
查看原文
Examples:<p>1. You’re building a airplane ticket booking platform, and want to offer users forecasts of when ticket prices will go up or down in the next 30 days.<p>2. You have a retail shop, and want to build an internal dashboard that forecasts how many items of each type you need to buy next week, given how many you sold in the last month<p>3. You’re building an real estate investment platform, and want it to notify users how real estate prices will change over the next 5 years (given sq. m., distance, location, etc.)<p>Problem:<p>You want to add forecasting to the app or platform you’re building<p>However, you don’t know enough to build and deploy a production-grade ML model<p>What if you could have a platform that could autonomously train and deploy ML models for you?<p>Solution:<p>We propose a vibe coding platform (like https://lovable.dev/ )<p>To empower everyday users to train and deploy machine learning models to production without needing to know anything about the field<p>Should we build it?