没有名为“sklearn.datasets.samples_generator"的模块

问题描述

尝试创建 4 个随机数据簇时，我收到以下错误消息:

When trying to create 4 clusters of random data, I am getting the following error message:

# Generate 4 clusters of random data.
from sklearn.datasets.samples_generator import make_blobs

data, _ = make_blobs(n_samples=300, centers=4,
                     cluster_std=0.60, random_state=0)

错误:

ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-2-f93335003f84> in <module>
      1 # Generate 4 clusters of random data.
----> 2 from sklearn.datasets.samples_generator import make_blobs
      3 
      4 data, _ = make_blobs(n_samples=300, centers=4,
      5                      cluster_std=0.60, random_state=0)

ModuleNotFoundError: No module named 'sklearn.datasets.samples_generator'

我尝试过:pip install sckit-learn 和 pip install sckit-datasets

我在 Windows 上的 Git Bash 上有 Anaconda 3、python 3.6 和 PythonAdv 环境.

I have Anaconda 3, python 3.6 and PythonAdv environments on Git Bash on Windows.

推荐答案

在最新版本的 scikit-learn 中，没有模块 sklearn.datasets.samples_generator - 它已被替换为 sklearn.datasets(请参阅文档);因此，根据 make_blobs 文档，你的导入应该是:

In the latest versions of scikit-learn, there is no module sklearn.datasets.samples_generator - it has been replaced with sklearn.datasets (see the docs); so, according to the make_blobs documentation, your import should simply be:

from sklearn.datasets import make_blobs

一般来说，官方文档是你最好的朋友，在做任何事情之前，你一定要先查阅它.

As a general rule, the official documentation is your best friend, and you should definitely consult it first before anything else.

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