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How to standardize unstandardized beta coefficients
% create IVs x1 and x2 and DV y as unstandardized variables x1=rand(100,1)*30; x2=rand(100,1)*100; x3=rand(100,1)*521; ...
How to standardize unstandardized beta coefficients
% create IVs x1 and x2 and DV y as unstandardized variables x1=rand(100,1)*30; x2=rand(100,1)*100; x3=rand(100,1)*521; ...
7 years 前 | 0
已回答
How to standardize unstandardized beta coefficients
% create IVs x1 and x2 and DV y as unstandardized variables x1=rand(100,1)*30; x2=rand(100,1)*2; y=rand(100,1)*10; ...
How to standardize unstandardized beta coefficients
% create IVs x1 and x2 and DV y as unstandardized variables x1=rand(100,1)*30; x2=rand(100,1)*2; y=rand(100,1)*10; ...
7 years 前 | 0
提问
condition in the optimization constants
Hi every one, I working on formulation constraint optimization model, in this problem, i need to put a condition for the m-fi...
8 years 前 | 1 个回答 | 0
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SVM classification with different kernels
Hi I very interested in this discussion I tried to apply the new funcion in my project but it doesnt work that what i did ...
SVM classification with different kernels
Hi I very interested in this discussion I tried to apply the new funcion in my project but it doesnt work that what i did ...
8 years 前 | 0
提问
HI EVERY ONE how can i develop a general equation for the training neural net work results as shown below and how can i make these equations linear or non linear
% ===== NEURAL NETWORK CONSTANTS ===== % Input 1 x1_step1_xoffset = [0.335;0.335;0.501;0.102]; x1_step1_gain =...
10 years 前 | 1 个回答 | 0
