Computers and Technology, 19.12.2019 06:31 micahatwood03
Write a code named gd. m to implement gradient descent algorithm for the logistic regression problem (1) using the constant step-size scheme. the input for gd. m should include xtr, ytr, yte, yte, the regularization parameter λ, and the constant step-size t. the output for gd. m should be the training error, test error and the objective value at each iteration.
the code should appropriately address two critical issues:
i) how do you choose the constant step-size t?
ii) when do you think to stop the iteration process in your gd algorithm such that its iterative output is guaranteed to be sufficiently close to the optimal solution?
Answers: 3
Computers and Technology, 23.06.2019 21:30
Write a fragment of code that reads in strings from standard input, until end-of-file and prints to standard output the largest value. you may assume there is at least one value. (cascading/streaming logic, basic string processing)
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Computers and Technology, 24.06.2019 15:50
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Computers and Technology, 24.06.2019 23:30
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Write a code named gd. m to implement gradient descent algorithm for the logistic regression problem...
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