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Top Forums UNIX for Beginners Questions & Answers Extract date and time part from filename Post 303033618 by RavinderSingh13 on Tuesday 9th of April 2019 07:56:11 AM
Old 04-09-2019
Hello Prathmesh,

Very good that you have shared all your efforts and tried to post nice stuff with complete details. Sorry but it is still NOT fully clear, if you edit your post with more descriptive details and more descriptive sample input and specially sample expected output it will be easy for us to help you on this one. Keep up the good job of learning and sharing, cheers and enjoy learning on this site Smilie

Thanks,
R. Singh

Last edited by RavinderSingh13; 04-09-2019 at 09:03 AM..
 

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Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)	User Contributed Perl Documentation	 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)

NAME
Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based discriminator for Bayes auto-learning SYNOPSIS
loadplugin Mail::SpamAssassin::Plugin::AutoLearnThreshold DESCRIPTION
This plugin implements the threshold-based auto-learning discriminator for SpamAssassin's Bayes subsystem. Auto-learning is a mechanism whereby high-scoring mails (or low-scoring mails, for non-spam) are fed into its learning systems without user intervention, during scanning. Note that certain tests are ignored when determining whether a message should be trained upon: o rules with tflags set to 'learn' (the Bayesian rules) o rules with tflags set to 'userconf' (user configuration) o rules with tflags set to 'noautolearn' Also note that auto-learning occurs using scores from either scoreset 0 or 1, depending on what scoreset is used during message check. It is likely that the message check and auto-learn scores will be different. USER OPTIONS
The following configuration settings are used to control auto-learning: bayes_auto_learn_threshold_nonspam n.nn (default: 0.1) The score threshold below which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a non-spam message. bayes_auto_learn_threshold_spam n.nn (default: 12.0) The score threshold above which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a spam message. Note: SpamAssassin requires at least 3 points from the header, and 3 points from the body to auto-learn as spam. Therefore, the minimum working value for this option is 6. bayes_auto_learn_on_error (0 | 1) (default: 0) With "bayes_auto_learn_on_error" off, autolearning will be performed even if bayes classifier already agrees with the new classification (i.e. yielded BAYES_00 for what we are now trying to teach it as ham, or yielded BAYES_99 for spam). This is a traditional setting, the default was chosen to retain backwards compatibility. With "bayes_auto_learn_on_error" turned on, autolearning will be performed only when a bayes classifier had a different opinion from what the autolearner is now trying to teach it (i.e. it made an error in judgement). This strategy may or may not produce better future classifications, but usually works very well, while also preventing unnecessary overlearning and slows down database growth. perl v5.16.3 2011-06-06 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)
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