Comments (3)
bfortuner
commented on May 18, 2024
I think the bias is added not multiplied, right?
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ivanistheone
commented on May 18, 2024
So the purpose of adding the 1 along with the other features in each example is so that the 1 will be multiplied by the 'bias weight' when the dot product of the features and weights is performed in the predict() function. Is that accurate?
Yes, exactly. We "augement" the data with a column of constant 1 so that can treeat the whole expressions using dot product rather than handle bias manually. Here is an example shows its equivalent:
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joelgenter
commented on May 18, 2024
Awesome. Thank you!
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