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Figure 7.7: Passive vs active learning a candidate training set. During training, at specified selection intervals (e.g. after a specified number of epochs, or when the error on the current training subset no longer decreases), further subsets are selected from the candidate examples using some criteria or heuristics, and added to the training set. The training set consists of the union of all previously selected subsets, while examples in selected subsets are removed from the candidate set. Thus, as training progresses, the size of the candidate set decreases while the size of the actual training set grows. Note that this chapter uses the term incremental learning to denote data selection, and should not be confused with the NN architecture selection growing approach. The term AW growing is used in this chapter to denote the process of finding an optimal architecture starting with too few hidden units and adding units during training. In contrast to incremental learning, selective learning selects at each selection interval a new training subset from the original candidate set. Selected patterns are not removed from the candidate set. At each selection interval, all candidate patterns have a chance to be selected. The subset is selected and used for training until some convergence criteria on the subset is met (e.g. a specified error limit on the subset is reached, the error decrease per iteration is too small, the maximum number of epochs allowed on the subset is exceeded). A new training subset is then selected for

Note You cannot combine transparent proxying with authorization on the proxy. It has also been reported that in some circumstances there can be problems with remote sites that require authentication.

8:

Squid includes a tool, cachemgr.cgi, that is installed at /usr/share/doc/packages/ squid/scripts/cachemgr.cgi. If you copy this to /srv/www/cgi-bin/, you can then go to http://<squid-server>/cgi-bin/cachemgr.cgi and view comprehensive information about the state of the squid cache (see Figure 25-4).

The squidGuard filter can be used with Squid to prevent access to undesirable sites. It is an additional package that you may need to install from the installation media. The maintainers of squidGuard also offer a set of blacklists of pornographic and other undesirable sites that squidGuard reads into a database in memory when it runs. Any requests for URLs in the database will be blocked by Squid. In order to use squidGuard, you need an additional line in /etc/squid/squid.conf:

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# REDIRECTJJRL contains the requested URL # REDIRECT_REQUEST_METHOD e.g. GET # REMOTE_ADDR : 192.0.2.238 # HTTP_USER_AGENT : Mozilla/4.05 [en] (Xll; I; SunOS 5.6 sun4m) if ($ENV{"REDIRECT_STATUS"} ==500) { $color = "#ffOOOO"; $error_type = "Server error" ; $error_message = "An error occurred in the configuration of the server . <br>" ;

A convenient Webmin module for configuring squidGuard helps you to download and install the blacklists and configure the program in other ways. The module is available from www.niemueller.de/webmin/modules/squidguard/. (See 14 for a discussion of Webmin.) When the blacklists are installed and squidGuard is configured, Squid calls squidGuard to check its database every time a request comes in. A very basic but working configuration file /etc/squidguard.conf for squidGuard looks like this:

LEARNING)

} elsif ($ENV{"REDIRECT_STATUS"} ==403) { $color = "#ffff67"; $error_type = "Access restricted" ; $error_message = "Sorry, that file is not available to you. " ; } elsif ($ENV{"REDIRECT_STATUS"} ==404) {

logdir /var/log/squidGuard dbhome /var/lib/squidGuard/db src grownups { ip 192.168.1.0/24 } dest blacklist { domainlist blacklist/domains urllist blacklist/urls } acl { grownups { pass !blacklist } default { pass none redirect http://www.bbc.co.uk } }

Here, if any client in the 192.168.1.0/24 network requests any domain or URL included in the blacklist, they will be redirected to www.bbc.co.uk. In practice, you would want to replace this with a local page explaining why access was denied and explaining what to do if you think this was an error. The information in this chapter is enough to get you started using Squid and the associated programs squidGuard and sarg on SUSE Linux. Once correctly configured, Squid operates as an efficient proxy server and requires very little attention. If you are using squidGuard, you need to be aware that by its very nature it requires a good deal more attention if you are to keep its blacklists up to date.

$color = "#ffff67"; $error_type = "File request error" ; $error_message = "The file which you accessed was not found or was<br>not available to you. " ; else $color = "#ffff67"; $error_type = "Unknown error" ; $error_message = "Please try again" ;

26 Enterprise Architecture 27 The Kernel 28 SUSE Linux Standard Server 29 SUSE Linux OpenExchange Server

the next training period. This process repeats until the NN is trained to satisfaction. The main difference between these two approaches to active learning is that no examples are discarded by incremental learning. In the limit, all examples in the candidate set will be used for training. With selective learning, training starts on all candidate examples, and uninformative examples are discarded as training progresses.

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