package-use.html

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<TD>The main package for the Java version of the the regression and classification support vector machine mySVM.&nbsp;</TD>
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<TD><A HREF="#com.rapidminer.operator.learner.functions.kernel.logistic"><B>com.rapidminer.operator.learner.functions.kernel.logistic</B></A></TD>
<TD>The main package for Kernel Logistic Regression (KLR).&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.functions.neuralnet"><B>com.rapidminer.operator.learner.functions.neuralnet</B></A></TD>
<TD>This package contains a neural net learner based on Joone.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.igss"><B>com.rapidminer.operator.learner.igss</B></A></TD>
<TD>Provides classes for learning operator Iterating Generic Sequential Sampling.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.lazy"><B>com.rapidminer.operator.learner.lazy</B></A></TD>
<TD>Learning schemes which perform lazy learning.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.meta"><B>com.rapidminer.operator.learner.meta</B></A></TD>
<TD>Meta learning schemes which uses other learning operators to increase the performance.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.rules"><B>com.rapidminer.operator.learner.rules</B></A></TD>
<TD>Provides rule learners.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.tree"><B>com.rapidminer.operator.learner.tree</B></A></TD>
<TD>Provides decision tree learners.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.learner.weka"><B>com.rapidminer.operator.learner.weka</B></A></TD>
<TD>Operators which encapsulate the learning schemes provided by Weka.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.meta"><B>com.rapidminer.operator.meta</B></A></TD>
<TD>Provides operators for experiment iteration, meta operators, and optimization.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.meta.branch"><B>com.rapidminer.operator.meta.branch</B></A></TD>
<TD>Provides operators for conditioned branching.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.olap"><B>com.rapidminer.operator.olap</B></A></TD>
<TD>This package contains some simple operators for basic OLAP analysis like grouping and aggregation.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.olap.aggregation"><B>com.rapidminer.operator.olap.aggregation</B></A></TD>
<TD>This package contains some aggregation functions which can be used by OLAP processing.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.performance"><B>com.rapidminer.operator.performance</B></A></TD>
<TD>Provides performance evaluating operators and performance criteria.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.performance.cost"><B>com.rapidminer.operator.performance.cost</B></A></TD>
<TD>This package contains cost-based performance evaluations.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.postprocessing"><B>com.rapidminer.operator.postprocessing</B></A></TD>
<TD>Operators for post processing, usually used for models.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing"><B>com.rapidminer.operator.preprocessing</B></A></TD>
<TD>Operators for preprocessing purposes.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.discretization"><B>com.rapidminer.operator.preprocessing.discretization</B></A></TD>
<TD>Contains discretization operators which can be used to transform numerical into nominal attributes.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.filter"><B>com.rapidminer.operator.preprocessing.filter</B></A></TD>
<TD>Containing filter operators changing the input example set, e.g. by removing certain attributes or changing the data.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.filter.attributes"><B>com.rapidminer.operator.preprocessing.filter.attributes</B></A></TD>
<TD>This package contains the attribute filter.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.normalization"><B>com.rapidminer.operator.preprocessing.normalization</B></A></TD>
<TD>Preprocessing operators used for normalization.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.outlier"><B>com.rapidminer.operator.preprocessing.outlier</B></A></TD>
<TD>Operators for outlier detection.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.sampling"><B>com.rapidminer.operator.preprocessing.sampling</B></A></TD>
<TD>Preprocessing operators used for sampling.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.preprocessing.weighting"><B>com.rapidminer.operator.preprocessing.weighting</B></A></TD>
<TD>This package methods for the weighting of examples.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.similarity"><B>com.rapidminer.operator.similarity</B></A></TD>
<TD>Basic framework for similarities.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.similarity.clustermodel"><B>com.rapidminer.operator.similarity.clustermodel</B></A></TD>
<TD>Similarity induced by cluster models and cluster model similarity.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation"><B>com.rapidminer.operator.validation</B></A></TD>
<TD>Operators for estimation of the performance which can be achieved by learning schemes (and other predictive operators).&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation.clustering"><B>com.rapidminer.operator.validation.clustering</B></A></TD>
<TD>Evaluation methods for clustering.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation.clustering.itemdistribution"><B>com.rapidminer.operator.validation.clustering.itemdistribution</B></A></TD>
<TD>Contains classes for evaluating the distribution of items among clusters.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.validation.significance"><B>com.rapidminer.operator.validation.significance</B></A></TD>
<TD>Statistical significance like ANOVA or t-tests.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.operator.visualization"><B>com.rapidminer.operator.visualization</B></A></TD>
<TD>The operators in this package might be useful for visualization purposes.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.parameter"><B>com.rapidminer.parameter</B></A></TD>
<TD>This package contains classes for handling of operator parameters and specifiying parameter types.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.parameter.conditions"><B>com.rapidminer.parameter.conditions</B></A></TD>
<TD>This package contains conditions for ParameterTypes.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.parameter.value"><B>com.rapidminer.parameter.value</B></A></TD>
<TD>This package contains helper classes for defining different types of parameter values, for example for parameter optimization operators.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools"><B>com.rapidminer.tools</B></A></TD>
<TD>Provides tools for RapidMiner like parsers for the input files.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.matrix"><B>com.rapidminer.tools.math.matrix</B></A></TD>
<TD>Utitility classes for matrices.&nbsp;</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><A HREF="#com.rapidminer.tools.math.similarity"><B>com.rapidminer.tools.math.similarity</B></A></TD>
<TD>This package consists similariy and distance measures.&nbsp;</TD>
</TR>
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<P>
<A NAME="com.rapidminer"><!-- --></A>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/ParameterType.html#com.rapidminer"><B>ParameterType</B></A></B>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A ParameterType holds information about type, range, and default value of a
 parameter.</TD>
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</TABLE>
&nbsp;
<P>
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<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/Parameters.html#com.rapidminer.gui.actions"><B>Parameters</B></A></B>

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&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This class is a collection of the parameter values of a single operator.</TD>
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<P>
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<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/ParameterType.html#com.rapidminer.gui.graphs"><B>ParameterType</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A ParameterType holds information about type, range, and default value of a
 parameter.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.gui.plotter"><!-- --></A>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/ParameterType.html#com.rapidminer.gui.plotter"><B>ParameterType</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A ParameterType holds information about type, range, and default value of a
 parameter.</TD>
</TR>
</TABLE>
&nbsp;
<P>
<A NAME="com.rapidminer.gui.properties"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
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<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/Parameters.html#com.rapidminer.gui.properties"><B>Parameters</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;This class is a collection of the parameter values of a single operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/ParameterType.html#com.rapidminer.gui.properties"><B>ParameterType</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A ParameterType holds information about type, range, and default value of a
 parameter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><B><A HREF="../../../com/rapidminer/parameter/class-use/ParameterTypeAttributeFile.html#com.rapidminer.gui.properties"><B>ParameterTypeAttributeFile</B></A></B>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A parameter type for parameters which stands for attribute description files
 (RapidMiner XML descriptions).</TD>