sklearn

sklearn,第1张

sklearn

Feature extraction - sklearn文本特征提取

http://blog.csdn.net/pipisorry/article/details/41957763

http://scikit-learn.org/stable/modules/feature_extraction.html

sklearn之sklearn.feature_extraction.text.CountVectorizer

http://blog.csdn.net/conquerorjia/article/details/24963177

应用scikit-learn做文本分类

http://blog.csdn.net/abcjennifer/article/details/23615947

scikit-learn:CountVectorizer提取tf都做了什么

http://blog.csdn.net/mmc2015/article/details/46866537

sklearn.pipeline.Pipeline类的用法

http://blog.csdn.net/lulei1217/article/details/49582887

sklearn.feature_extraction.text.CountVectorizer¶

http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html

应用scikit-learn做文本分类

http://blog.csdn.net/abcjennifer/article/details/23615947

Python写入CSV文件的方法

http://hyry.dip.jp/tech/book/page/scipy/numpy_file.html

Python将数组矩阵)存成csv文件,将csv文件读取为数组(矩阵)
  1. import numpy
  2. my_matrix = numpy.loadtxt(open("c:\1.csv","rb"),delimiter=",",skiprows=0)

将数组或者矩阵存储为csv文件可以使用如下代码实现:

  1. numpy.savetxt('new.csv', my_matrix, delimiter = ',')

欢迎分享,转载请注明来源:内存溢出

原文地址: https://outofmemory.cn/zaji/586859.html

(0)
打赏 微信扫一扫 微信扫一扫 支付宝扫一扫 支付宝扫一扫
上一篇 2022-04-12
下一篇 2022-04-12

发表评论

登录后才能评论

评论列表(0条)

保存