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Add bias term by default #26

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kmaehashi opened this issue Jun 30, 2014 · 4 comments
Closed

Add bias term by default #26

kmaehashi opened this issue Jun 30, 2014 · 4 comments

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@kmaehashi
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As reported in the mailing list and Casual Talk event, some users want this.
We should discuss we should support it or not.

@rimms rimms added this to the Near Future milestone Oct 27, 2014
@hido
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hido commented Oct 27, 2014

It is just a problem of selection. Implementation is easy and straightforward.

Merit of supporting bias term:

  • Users can use bias term without care nor adding constant feature value
  • System can reduce the networking cost by omitting constant feature value

Disadvantage of supporting bias term:

  • Users cannot use linear models without bias term
    • The corresponding weight for the bias term should converge to zero if the true model does not have such constant term
    • But it may affect the accuracy especially in the early stage of training
  • Another bias term mistakenly-added by user may cause the multicollinearity problem and degrade the accuracy

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stale bot commented May 16, 2019

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

@stale stale bot added the stale label May 16, 2019
@rimms rimms removed the stale label Jun 17, 2019
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stale bot commented Jun 11, 2020

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

@stale stale bot added the stale label Jun 11, 2020
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stale bot commented Sep 10, 2020

Closing this issue after a prolonged period of inactivity. Please feel free to create a new issue or re-open it if you need.

@stale stale bot closed this as completed Sep 10, 2020
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