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The second code block on page 126 states:
"Note that C=1.0 is the default. You can increase or decrease it to make the regularization effect stronger or weaker, respectively."
which implies a proportional relationship between C and lambda, instead of an inverse relationship as stated on page 128. Additionally, on page 127, it's stated : "...However,...by further increasing the regularization strength--that is, choosing lower values for the C parameter."
I want to make sure I'm understanding this correctly in the event that it is an error and not listed in the errata section.
The text was updated successfully, but these errors were encountered:
Thanks for the feedback. You are right, increasing the value of C makes the regularization effect weaker because in sklearn C is the inverse of regularization strength. I'll make a note to be more clear about that in future reprints. Thanks!
Hi Sebastian,
The second code block on page 126 states:
"Note that C=1.0 is the default. You can increase or decrease it to make the regularization effect stronger or weaker, respectively."
which implies a proportional relationship between C and lambda, instead of an inverse relationship as stated on page 128. Additionally, on page 127, it's stated : "...However,...by further increasing the regularization strength--that is, choosing lower values for the C parameter."
I want to make sure I'm understanding this correctly in the event that it is an error and not listed in the errata section.
The text was updated successfully, but these errors were encountered: