Question

当我运行此代码（或任何类似的代码）时：

x1 <- c(runif(100, 0.0, 10.0))
y1 <- c(runif(100, 0.0, 10.0))

data <- data.frame(x1, y1)
data$label <- with(data, ifelse((x1-5)^2 + (y1-5)^2 < 9, 1, 0))

lm_fit <- lm(formula = label ~ .,data = data)

x_vals <- seq(0, 10, 0.25)
y_vals <- seq(0, 10, 0.25)

grid <- expand.grid(x_vals, y_vals)

predict(lm_fit, grid)

我收到一条警告信息：

'newdata'有1681行，但找到的变量有100行

我也没有预测到所需的标签。我不明白R在这里做什么，有人可以帮忙吗？

Answer 1

如果测试数据中的变量名称与训练数据中的变量名称匹配，则警告消失：

public class MyIterator implements Iterator<MyComponent> {

    MyComponent component;
    MyIteratorStrategy strategy;

    public MyIterator(MyComponent component, MyIteratorStrategy strategy) {
        this.component = component;
        this.strategy = strategy;
    }

    @Override
    public Component next() {
        if(strategy.isDone(component) {
            //return some child component
        } else {
            //return some other child component
        }
    }

    //rest of implementation
}

尝试预测标签以获得比训练数据更多的测试数据时的警告消息

1 个答案: