15:49:54 insert into user(id,nmae,pwd) values (1,"何耳林","123456"), (2,"张三","123457"), (3,"李四","123458") Error Code: 1054. Unknown column 'nmae' in 'field list' 0.000 sec

根据你提供的插入语句，出现了错误代码 1054，表示在字段列表中找不到列名 'nmae'。这是因为你在插入语句中拼写错误，将 'name' 拼写为 'nmae'。

请将插入语句修改为以下形式：

INSERT INTO user (id, name, pwd) VALUES (1, "何耳林", "123456"), (2, "张三", "123457"), (3, "李四", "123458");

修正后的语句中，将 'nmae' 修改为了正确的 'name'。执行此语句即可成功插入数据到 `user` 表中。

相关问题

A.get_nmae() missing 1 required positional argument: 'self'

This error occurs when you try to call the method `get_name()` on an object without passing the `self` argument explicitly.

In Python, the first argument of an instance method is always `self`, which represents the instance itself. When calling the method, Python automatically passes the instance as the first argument, so you don't need to pass it explicitly.

To fix the error, make sure you're calling the method on an instance of the class, and don't pass the `self` argument explicitly. For example:

class MyClass:
    def __init__(self, name):
        self.name = name

    def get_name(self):
        return self.name

obj = MyClass("John")
print(obj.get_name())  # Output: John

In this example, we create an instance of `MyClass` called `obj`, and then call the `get_name()` method on it without passing the `self` argument explicitly. The method returns the value of the `name` attribute of the instance.

归一化平均绝对误差nmae

归一化平均绝对误差（NMAE）是一种用于衡量预测值与真实值之间差异的指标，它可以用来评估回归模型的性能。NMAE是将平均绝对误差（MAE）除以真实值的范围，以消除不同数据集之间的量纲差异。

NMAE的计算公式如下：
NMAE = MAE / (max_value - min_value)

其中，MAE表示平均绝对误差，计算方式为：
MAE = (1 / n) * Σ|预测值 - 真实值|

max_value和min_value分别表示真实值的最大值和最小值。

NMAE的值越小，表示模型的预测结果与真实值之间的差异越小，模型性能越好。