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import pandas as pd import numpy as np #创建Series对象的方法 # #指定index,可以不按顺序,不连续:pd.Series(data, index=index) x = pd.Series([1,2,3,4], index=[3,4,5,6]) pri 阅读全文
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#++++++++++++++++++++++++++++++++广播操作+++++++++++++++++++++++++++++++++++ x = np.arange(9).reshape(3,3) y = x+3 z = np.arange(3).reshape(3,1) print(x+3 阅读全文
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1.Common Factorised Space 论文信息 Disjoint Label Space Transfer Learning with Common Factorised SpaceAAAI 2019 Submitted on 6 Dec 2018Arxiv Link 主要贡献 提出一 阅读全文
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矩阵相关: a = [1 2;3 4] %生成矩阵的普通方法 b = 1:0.2:2 %一维矩阵:0.2是间隔 c = zeros(2,3) %生成全0矩阵 d = ones(3,4) %生成全1矩阵 e = rand(4,5) %矩阵元素随机生成,全部为正数 f = rands(4,4) %矩阵元 阅读全文