📄 logginghandler.html
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<BR> This operator applies a linear combination for each vector of the input ExampleSet, i.e.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/construction/YAGGA.html" title="class in com.rapidminer.operator.features.construction">YAGGA</A></B></CODE><BR> YAGGA is an acronym for Yet Another Generating Genetic Algorithm.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/construction/YAGGA2.html" title="class in com.rapidminer.operator.features.construction">YAGGA2</A></B></CODE><BR> YAGGA is an acronym for Yet Another Generating Genetic Algorithm.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.features.selection"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A> in <A HREF="../../../../com/rapidminer/operator/features/selection/package-summary.html">com.rapidminer.operator.features.selection</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../com/rapidminer/operator/features/selection/package-summary.html">com.rapidminer.operator.features.selection</A> that implement <A HREF="../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/AbstractGeneticAlgorithm.html" title="class in com.rapidminer.operator.features.selection">AbstractGeneticAlgorithm</A></B></CODE><BR> Genetic algorithms are general purpose optimization / search algorithms that are suitable in case of no or little problem knowledge.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/AttributeWeightSelection.html" title="class in com.rapidminer.operator.features.selection">AttributeWeightSelection</A></B></CODE><BR> This operator selects all attributes which have a weight fulfilling a given condition.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/BruteForceSelection.html" title="class in com.rapidminer.operator.features.selection">BruteForceSelection</A></B></CODE><BR> This feature selection operator selects the best attribute set by trying all possible combinations of attribute selections.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/FeatureSelectionOperator.html" title="class in com.rapidminer.operator.features.selection">FeatureSelectionOperator</A></B></CODE><BR> This operator realizes the two deterministic greedy feature selection algorithms forward selection and backward elimination.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/GeneticAlgorithm.html" title="class in com.rapidminer.operator.features.selection">GeneticAlgorithm</A></B></CODE><BR> A genetic algorithm for feature selection (mutation=switch features on and off, crossover=interchange used features).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/RandomSelection.html" title="class in com.rapidminer.operator.features.selection">RandomSelection</A></B></CODE><BR> This operator selects a randomly chosen number of features randomly from the input example set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/RemoveCorrelatedFeatures.html" title="class in com.rapidminer.operator.features.selection">RemoveCorrelatedFeatures</A></B></CODE><BR> Removes (un-) correlated features due to the selected filter relation.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/RemoveUselessFeatures.html" title="class in com.rapidminer.operator.features.selection">RemoveUselessFeatures</A></B></CODE><BR> Removes useless attribute from the example set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/selection/WeightGuidedSelectionOperator.html" title="class in com.rapidminer.operator.features.selection">WeightGuidedSelectionOperator</A></B></CODE><BR> This operator uses input attribute weights to determine the order of features added to the feature set starting with the feature set containing only the feature with highest weight.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.features.transformation"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A> in <A HREF="../../../../com/rapidminer/operator/features/transformation/package-summary.html">com.rapidminer.operator.features.transformation</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Classes in <A HREF="../../../../com/rapidminer/operator/features/transformation/package-summary.html">com.rapidminer.operator.features.transformation</A> that implement <A HREF="../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/DimensionalityReducer.html" title="class in com.rapidminer.operator.features.transformation">DimensionalityReducer</A></B></CODE><BR> Abstract class representing some common functionality of dimensionality reduction methods.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/DimensionalityReducerModel.html" title="class in com.rapidminer.operator.features.transformation">DimensionalityReducerModel</A></B></CODE><BR> The model for the generic dimensionality reducer.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/FastICA.html" title="class in com.rapidminer.operator.features.transformation">FastICA</A></B></CODE><BR> This operator performs the independent componente analysis (ICA).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/FastICAModel.html" title="class in com.rapidminer.operator.features.transformation">FastICAModel</A></B></CODE><BR> This is the transformation model of the <code>FastICA</code>.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/FourierTransform.html" title="class in com.rapidminer.operator.features.transformation">FourierTransform</A></B></CODE><BR> Creates a new example set consisting of the result of a fourier transformation for each attribute of the input example set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/GHA.html" title="class in com.rapidminer.operator.features.transformation">GHA</A></B></CODE><BR> Generalized Hebbian Algorithm (GHA) is an iterative method to compute principal components.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/GHAModel.html" title="class in com.rapidminer.operator.features.transformation">GHAModel</A></B></CODE><BR> This is the transformation model of the <code>GHA</code> The number of components is initially specified by the <code>GHA</code>.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/JamaDimensionalityReduction.html" title="class in com.rapidminer.operator.features.transformation">JamaDimensionalityReduction</A></B></CODE><BR> This class represents an abstract framework for performing dimensionality reduction using the JAMA package.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/KernelPCA.html" title="class in com.rapidminer.operator.features.transformation">KernelPCA</A></B></CODE><BR> This operator performs a kernel-based principal components analysis (PCA).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator/features/transformation/KernelPCAModel.html" title="class in com.rapidminer.operator.features.transformation">KernelPCAModel</A></B></CODE><BR> The model for the Kernel-PCA.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../com/rapidminer/operator⌨️ 快捷键说明
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