This page (revision-1) was last changed on 29-Nov-2024 16:16 by UnknownAuthor

Only authorized users are allowed to rename pages.

Only authorized users are allowed to delete pages.

Page revision history

Version Date Modified Size Author Changes ... Change note

Page References

Incoming links Outgoing links
Hyperparameters
Hyperparameters

Version management

Difference between version and

At line 1 added 24 lines
!!! Overview
[{$pagename}]
!! [Machine Learning] [1]
[{$pagename}] is a [parameter] whose value is set before the learning process begins. By contrast, the values of other [parameters] are derived via training.
Different [Machine Learning model]'s training [Machine Learning Algorithms] require different [{$pagename}]. Given these hyperparameters, the training algorithm learns the [parameters] from the [data]. For instance, LASSO is an algorithm that adds a [regularization] hyperparameter to OLS regression, which has to be set before estimating the [parameters] through the training [algorithm].
Some simple algorithms (such as ordinary least squares regression) require none.
!! [{$pagename}] Statistics [2]
Bayesian [{$pagename}] is a [parameter] of a prior distribution; the term is used to distinguish them from [parameters] of the [model] for the underlying system under analysis.
!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]
----
* [#1] - [Hyperparameter_(machine_learning)|Wikipedia:Hyperparameter_(machine_learning)|target='_blank'] - based on information obtained 2018-01-03
* [#2] - [Hyperparameter|Wikipedia:Hyperparameter|target='_blank'] - based on information obtained 2018-01-03
This page (revision-1) was last changed on 29-Nov-2024 16:16 by UnknownAuthorTop