机器学习-特征值的抽取

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特征值化为了计算机更好的理解数据

# 导入包
from sklearn.feature_extraction.text import CountVectorizer

# 实例化CountVectorizer

vector = CountVectorizer()

# 调用fit_transform输入并转换数据
res = vector.fit_transform(["life is short like python","life is tolang,i dislike python"])

# 打印结果
print(vector.get_feature_names())
print(res.toarray())

结果：

['dislike', 'is', 'life', 'like', 'python', 'short', 'tolang']
[[0 1 1 1 1 1 0]
 [1 1 1 0 1 0 1]]