fann _get _cascade _candidate _stagnation _epochs
(PECL fann >= 1.0.0)
fann_get_cascade_candidate_stagnation_epochs — Returns the number of cascade candidate stagnation epochs
Description
$ann
) : intThe number of cascade candidate stagnation epochs determines the number of epochs training is allowed to continue without changing the MSE by a fraction of fann_get_cascade_candidate_change_fraction().
See more info about this parameter in fann_get_cascade_candidate_change_fraction().
The default number of cascade candidate stagnation epochs is 12.
See Also
- fann_set_cascade_candidate_stagnation_epochs() - Sets the number of cascade candidate stagnation epochs
- fann_get_cascade_candidate_change_fraction() - Returns the cascade candidate change fraction
English translation
You have asked to visit this site in English. For now, only the interface is translated, but not all the content yet.If you want to help me in translations, your contribution is welcome. All you need to do is register on the site, and send me a message asking me to add you to the group of translators, which will give you the opportunity to translate the pages you want. A link at the bottom of each translated page indicates that you are the translator, and has a link to your profile.
Thank you in advance.
Document created the 30/01/2003, last modified the 26/10/2018
Source of the printed document:https://www.gaudry.be/en/php-rf-function.fann-get-cascade-candidate-stagnation-epochs.html
The infobrol is a personal site whose content is my sole responsibility. The text is available under CreativeCommons license (BY-NC-SA). More info on the terms of use and the author.
References
These references and links indicate documents consulted during the writing of this page, or which may provide additional information, but the authors of these sources can not be held responsible for the content of this page.
The author This site is solely responsible for the way in which the various concepts, and the freedoms that are taken with the reference works, are presented here. Remember that you must cross multiple source information to reduce the risk of errors.
