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This project provides an implementation of the AutoML tool ML-Plan for MEKA.
<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE log4j:configuration SYSTEM "log4j.dtd"> <log4j:configuration> <appender name="console" class="org.apache.log4j.ConsoleAppender"> <param name="Target" value="System.out" /> <param name="Threshold" value="trace" /> <layout class="org.apache.log4j.PatternLayout"> <!-- <param name="ConversionPattern" value="(%d{ISO8601}) %-5p [%t] [%c{1}.%M:%L] - %m%n" /> --> <param name="ConversionPattern" value="%-5p [%t] [%c.%M (%C:%L)] - %m%n" /> </layout> </appender> <appender name="infoFileAppender" class="org.apache.log4j.FileAppender"> <param name="File" value="logs/info.log" /> <param name="Threshold" value="INFO" /> <param name="Append" value="false" /> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="(%d{ISO8601}) %-5p [%t] [%c.%M (%C:%L)] - %m%n" /> </layout> </appender> <appender name="errFileAppender" class="org.apache.log4j.FileAppender"> <param name="File" value="logs/error.log" /> <param name="Threshold" value="ERROR" /> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="(%d{ISO8601}) %-5p [%t] [%c.%M (%C:%L)] - %m%n" /> </layout> </appender> <appender name="warnFileAppender" class="org.apache.log4j.FileAppender"> <param name="File" value="logs/warn.log" /> <param name="Threshold" value="WARN" /> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="(%d{ISO8601}) %-5p [%t] [%c.%M (%C:%L)] - %m%n" /> </layout> </appender> <appender name="traceFileAppender" class="org.apache.log4j.FileAppender"> <param name="File" value="logs/trace.log" /> <param name="Threshold" value="TRACE" /> <param name="Append" value="false" /> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="(%d{ISO8601}) %-5p [%t] [%c.%M (%C:%L)] - %m%n" /> </layout> </appender> <logger name="testers"> <level value="debug" /> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <logger name="ai.libs"> <level value="warn" /> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <logger name="ai.libs.jaicore.basic.algorithm.GeneralAlgorithmTester"> <level value="trace" /> </logger> <logger name="MLPlanCLI"> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <logger name="ai.libs.jaicore.graphvisualizer"> <level value="warn" /> </logger> <logger name="ai.libs.jaicore.interrupt"> <level value="warn" /> </logger> <logger name="hasco"> <level value="warn" /> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <logger name="ml2plan"> <level value="info" /> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo"> <level value="info" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco"> <level value="warn" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.solutionevaluator"> <level value="warn" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.solutionevaluator.benchmark"> <level value="warn" /> </logger> <logger name="ai.libs.jaicore.ml.classification.multilabel.learner"> <level value="info" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.search"> <level value="warn" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.search._orgraphsearch._algorithm"> <level value="warn" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.search.nodeevaluator"> <level value="warn" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.search.treepolicy"> <level value="warn" /> </logger> <logger name="ml2plan.optimizingfactory.optAlgo.hasco.search.nodeevaluator.secondary.randomsearch"> <level value="warn" /> </logger> <logger name="hasco.core.isValidParameterRangeRefinementPredicate"> <level value="warn" /> </logger> <logger name="ai.libs.jaicore.timing"> <level value="warn" /> </logger> <logger name="ai.libs.jaicore.concurrent"> <level value="warn" /> </logger> <logger name="ai.libs.jaicore.interrupt"> <level value="warn" /> </logger> <!-- configuration for example classes --> <logger name="example"> <level value="info" /> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <!-- configuration for ML-Plan Test logging --> <logger name="testedalgorithm"> <level value="warn" /> <appender-ref ref="console" /> <appender-ref ref="infoFileAppender" /> <appender-ref ref="warnFileAppender" /> <appender-ref ref="errFileAppender" /> <appender-ref ref="traceFileAppender" /> </logger> <logger name="testedalgorithm.searchselectsplitter.sampler"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory.optAlgo"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory.optAlgo.hasco"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory.optAlgo.hasco.search"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory.optAlgo.hasco.search.nodeevaluator"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory.optAlgo.hasco.search.nodeevaluator.randomsearch"> <level value="warn" /> </logger> <logger name="testedalgorithm.optimizingfactory.optAlgo.hasco.search.nodeevaluator.secondary"> <level value="warn" /> </logger> </log4j:configuration>