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📄 selectd.conf

📁 使用具有增量学习的监控式学习方法。包括几个不同的分类算法。
💻 CONF
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## Example configuration file for selectd### Location settings##address				# Use default addressaddress		my_selectd		# Use address my_selectddata_dir				# Default: Don't save databases#data_dir	.			# Save databases in current directory#share_dir				# Default: /usr/local/share/selectshare_dir	share			# Use the specified directory#plugin_dir				# Default: /usr/local/lib/selectplugin_dir	plugins			# Use the specified directory## Language settings##language				# No languageslanguage	en C			# Englishidentifier	off			# Don't use language identification#stemming	on			# Perform stemming for chosen languagesstemming	off			# Don't perform stemmingstopwords	on			# Use stopwords for chosen languages#stopwords	off			# Don't use any stopwords## Classifier settings#[classifier]name		nb			# Name the classifier nbclassifier	NaiveBayes		# NaiveBayes classifiertype		multi_one		# Multi classifier, type ONE_MAXoptions					# No optionstokenizer	alpha			# Alpha tokenizervectorizer	tfidf			# TF-IDF vectorizernormalizer				# No normalization[classifier]name		from			# Name the classifier fromclassifier	From			# From classifiertype		document		# Document classifieroptions		n=200,o=fifo		# 200 addresses, fifo order[classifier]name		reply			# Name the classifier replyclassifier	Reply			# Reply classifiertype		document		# Document classifieroptions		n=100			# 100 subject entries

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