Python 编码错误，因为它在我制作 def 后无法定义

Question

我做了自我进口，但它显示

NameError: name 'self' is not defined

#implementation
class KMeans:
    def __init__(self, n_cluster=8, max_iter=300):
        self.n_cluster = n_cluster
        self.max_iter = max_iter
        
# Randomly select centroid start points, uniformly distributed across the domain of the dataset
min_, max_ = np.min(X_train, axis=0), np.max(X_train, axis=0)
self.centroids = [uniform(min_, max_) for _ in range(self.n_clusters)]

但显示

NameError                                 Traceback (most recent call last)
Input In [50], in <cell line: 9>()
      7 # Randomly select centroid start points, uniformly distributed across the domain of the dataset
      8 min_, max_ = np.min(X_train, axis=0), np.max(X_train, axis=0)
----> 9 self.centroids = [uniform(min_, max_) for _ in range(self.n_clusters)]

NameError: name 'self' is not defined

Answer 1

您应该在 Python 中了解更多关于 OOP 的信息（以此处为例）

self是对 class 的当前实例的引用。因此它只能在实例方法内部使用。

您正在尝试在没有 object 本身的情况下访问 object 的引用。

您应该将 function 定义为 class 的方法，然后初始化一些实例。 之后，您将能够访问它的方法。

更新了一些方法示例：

from random import uniform

import numpy as np


class KMeans:
    def __init__(self, n_cluster=8, max_iter=300):
        self.n_cluster = n_cluster
        self.max_iter = max_iter

    def get_centroids(self, x_train):
        # Randomly select centroid start points, uniformly distributed across the domain of the dataset
        min_, max_ = np.min(x_train, axis=0), np.max(x_train, axis=0)
        self.centroids = [uniform(min_, max_) for _ in range(self.n_cluster)]
        return self.centroids

some_object = KMeans()
some_object.get_centroids([1, 2, 3])
print(some_object.centroids)

你想做这样的事情吗？