AttributeError: 由于 sklearn 的新版本，“str"对象没有属性“参数" [英] AttributeError: 'str' object has no attribute 'parameters' due to new version of sklearn

问题描述

我正在使用 sklearn 进行主题建模.在尝试从网格搜索输出中获取对数似然时，我收到以下错误:

I am doing topic modeling using sklearn. While trying to get the log-likelihood from Grid Search output, I am getting the below error:

AttributeError: 'str' 对象没有属性 'parameters'

AttributeError: 'str' object has no attribute 'parameters'

我想我明白这个问题是:在旧版本中使用了参数"，而我正在使用 sklearn 的新版本 (0.22) 并且出现错误.我还搜索了新版本中使用的术语，但找不到.代码如下:

I think I understand the issue which is: 'parameters' is used in the older version and I am using the new version (0.22) of sklearn and that is giving error. I also search for the term which is used in the new version but couldn't find it. Below is the code:

# Get Log Likelyhoods from Grid Search Output
n_components = [10, 15, 20, 25, 30]
log_likelyhoods_5 = [round(gscore.mean_validation_score) for gscore in model.cv_results_ if gscore.parameters['learning_decay']==0.5]
log_likelyhoods_7 = [round(gscore.mean_validation_score) for gscore in model.cv_results_ if gscore.parameters['learning_decay']==0.7]
log_likelyhoods_9 = [round(gscore.mean_validation_score) for gscore in model.cv_results_ if gscore.parameters['learning_decay']==0.9]

# Show graph
plt.figure(figsize=(12, 8))
plt.plot(n_components, log_likelyhoods_5, label='0.5')
plt.plot(n_components, log_likelyhoods_7, label='0.7')
plt.plot(n_components, log_likelyhoods_9, label='0.9')
plt.title("Choosing Optimal LDA Model")
plt.xlabel("Num Topics")
plt.ylabel("Log Likelyhood Scores")
plt.legend(title='Learning decay', loc='best')
plt.show()

提前致谢！

推荐答案

有一个键 'params' 用于存储所有候选参数的参数设置字典列表.您可以在 此处查看 GridSearchCv 文档.a> 来自 sklearn 文档.

There is key 'params' which is used to store a list of parameter settings dicts for all the parameter candidates. You can see the GridSearchCv doc here from sklearn documentation.

在您的代码中，gscore 是 cv_results_ 的字符串键值.

In your code, gscore is a string key value of cv_results_.

cv_results_ 的输出是字符串键的字典，如 'params'、'split0_test_score' 等(你可以参考文档)，它们的值是 list 或 array 等

Output of cv_results_ is a dictionary of string key like 'params','split0_test_score' etc(you can refer the doc) and their value as list or array etc.

因此，您需要对代码进行以下更改:

So, you need to make following change to your code :

log_likelyhoods_5 = [round(model.cv_results_['mean_test_score'][index]) for index, gscore in enumerate(model.cv_results_['params']) if gscore['learning_decay']==0.5]

这篇关于AttributeError: 由于 sklearn 的新版本，“str"对象没有属性“参数"的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！