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More detailed explanation of code examples in logistic regression?
I read the Logistic Regression section, I think there is a bit of a "jump" in "Now we have to train the logistic regression model." because #learningRate and #maxIterations are not explained in the example code.
Similarly with the #bias and #weights example, what the output represents?
You are right @hernanmd thanks! I will fix this