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For the model in the pandas dataset, is it okay to use the target column when adding a new feature?
How does it affect the model ?
No, the general rule is you should not utilize the data which will not be available in testing or real-application. It will probably result in overfitting.
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Please help me solve this question or give me the idea in NumPy. Thank you so much!!
For a given n you could do it like so:
np.maximum(*np.meshgrid(*[np.abs(np.linspace(k:=-n+1,-k,1-2*k))]*2))+1
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Are there any examples of the code for the Column generation problem (cutting stock problem or any other problem) using google OR tools in C++?
Yes, as the name suggests, this does the job:
https://github.com/google/or-tools/blob/stable/examples/cpp/strawberry_fields_with_column_generation.cc
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Is there some sort of software that can do so? Specifically, I would like to visualize Resnet18. Is there no other way other than to just draw it myself? Here is an example of what I want to see:
Sample Architecture Visualization
You can use this one : http://alexlenail.me/NN-SVG/LeNet.html . It lets you visualize neural networks by letting you modify several parameters and finally lets you export the architectures as SVG files. You can also choose between 3 visualization styles, namely FCNN, LeNet & AlexNet.
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Will the method put update a value or is it necessary to first delete it and then put the new one?
Yes, it will update value (delete is not required). Do you have any problem with it?
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Binary search works best with which data structure?
One that is sorted and allows random access.