Question

我正在尝试将DictVectorizer用于分类作业。这是我第一次使用它。

我的字典看起来像这样

students = 
[{'courses': [], 'state': 'CA', 'textbook': [9704873, 11067976], 'zip': 104},
 {'courses': ['HIST 2'], 'state': 'CA', 'textbook': [7072542], 'zip': 104}, 
 {'courses': ['BIOSC 4'], 'state': 'CA', 'textbook': [4359080, 13320], 'zip': 110}]

from sklearn.feature_extraction import DictVectorizer
vec = DictVectorizer()
array = vec.fit_transform(students).toarray()

当我试图将它放入DictVectorizer时，它会给我带来以下错误：

Traceback (most recent call last):
  File "C:/Users/aanam/PycharmProjects/predict_school/scikit_test.py", line 36, in <module>
    array = vec.fit_transform(students).toarray()
  File "C:\Python27\lib\site-packages\sklearn\feature_extraction\dict_vectorizer.py", line 142, in fit_transform
    return self.transform(X)
  File "C:\Python27\lib\site-packages\sklearn\feature_extraction\dict_vectorizer.py", line 230, in transform
    values.append(dtype(v))
ValueError: could not convert string to float: HIST 2

DictVectorizer抛出一个ValueError：无法将字符串转换为float

0 个答案: