neuralnetlearner.html

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<TD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/Learner.html#getName()">getName</A></CODE></TD>
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<A NAME="PARAMETER_INPUT_LAYER_TYPE"><!-- --></A><H3>
PARAMETER_INPUT_LAYER_TYPE</H3>
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public static final java.lang.String <B>PARAMETER_INPUT_LAYER_TYPE</B></PRE>
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<DD>The parameter name for &quot;The default layer type for the input layers.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_INPUT_LAYER_TYPE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_OUTPUT_LAYER_TYPE"><!-- --></A><H3>
PARAMETER_OUTPUT_LAYER_TYPE</H3>
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public static final java.lang.String <B>PARAMETER_OUTPUT_LAYER_TYPE</B></PRE>
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<DD>The parameter name for &quot;The default layer type for the output layers.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_OUTPUT_LAYER_TYPE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_DEFAULT_NUMBER_OF_HIDDEN_LAYERS"><!-- --></A><H3>
PARAMETER_DEFAULT_NUMBER_OF_HIDDEN_LAYERS</H3>
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public static final java.lang.String <B>PARAMETER_DEFAULT_NUMBER_OF_HIDDEN_LAYERS</B></PRE>
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<DD>The parameter name for &quot;The number of hidden layers. Only used if no layers are defined by the list hidden_layer_types.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_DEFAULT_NUMBER_OF_HIDDEN_LAYERS">Constant Field Values</A></DL>
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<A NAME="PARAMETER_DEFAULT_HIDDEN_LAYER_SIZE"><!-- --></A><H3>
PARAMETER_DEFAULT_HIDDEN_LAYER_SIZE</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_DEFAULT_HIDDEN_LAYER_SIZE</B></PRE>
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<DD>The parameter name for &quot;The default size  of hidden layers. Only used if no layers are defined by the list hidden_layer_types. -1 means size (number of attributes + number of classes) / 2&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_DEFAULT_HIDDEN_LAYER_SIZE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_DEFAULT_HIDDEN_LAYER_TYPE"><!-- --></A><H3>
PARAMETER_DEFAULT_HIDDEN_LAYER_TYPE</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_DEFAULT_HIDDEN_LAYER_TYPE</B></PRE>
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<DD>The parameter name for &quot;The default layer type for the hidden layers. Only used if the parameter list hidden_layer_types is not defined.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_DEFAULT_HIDDEN_LAYER_TYPE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_HIDDEN_LAYER_TYPES"><!-- --></A><H3>
PARAMETER_HIDDEN_LAYER_TYPES</H3>
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public static final java.lang.String <B>PARAMETER_HIDDEN_LAYER_TYPES</B></PRE>
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<DD>The parameter name for &quot;Describes the name, the size, and the type of all hidden layers&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_HIDDEN_LAYER_TYPES">Constant Field Values</A></DL>
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<A NAME="PARAMETER_TRAINING_CYCLES"><!-- --></A><H3>
PARAMETER_TRAINING_CYCLES</H3>
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public static final java.lang.String <B>PARAMETER_TRAINING_CYCLES</B></PRE>
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<DD>The parameter name for &quot;The number of training cycles used for the neural network training.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_TRAINING_CYCLES">Constant Field Values</A></DL>
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<A NAME="PARAMETER_LEARNING_RATE"><!-- --></A><H3>
PARAMETER_LEARNING_RATE</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_LEARNING_RATE</B></PRE>
<DL>
<DD>The parameter name for &quot;The learning rate determines by how much we change the weights at each step.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_LEARNING_RATE">Constant Field Values</A></DL>
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<A NAME="PARAMETER_MOMENTUM"><!-- --></A><H3>
PARAMETER_MOMENTUM</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_MOMENTUM</B></PRE>
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<DD>The parameter name for &quot;The momentum simply adds a fraction of the previous weight update to the current one (prevent local maxima and smoothes optimization directions).&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_MOMENTUM">Constant Field Values</A></DL>
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<A NAME="PARAMETER_ERROR_EPSILON"><!-- --></A><H3>
PARAMETER_ERROR_EPSILON</H3>
<PRE>
public static final java.lang.String <B>PARAMETER_ERROR_EPSILON</B></PRE>
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<DD>The parameter name for &quot;The optimization is stopped if the training error gets below this epsilon value.&quot;
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<DT><B>See Also:</B><DD><A HREF="../../../../../../constant-values.html#com.rapidminer.operator.learner.functions.neuralnet.NeuralNetLearner.PARAMETER_ERROR_EPSILON">Constant Field Values</A></DL>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->

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<A NAME="NeuralNetLearner(com.rapidminer.operator.OperatorDescription)"><!-- --></A><H3>
NeuralNetLearner</H3>
<PRE>
public <B>NeuralNetLearner</B>(<A HREF="../../../../../../com/rapidminer/operator/OperatorDescription.html" title="class in com.rapidminer.operator">OperatorDescription</A>&nbsp;description)</PRE>
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<DD>Creates a new Neural Network learner.
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<!-- ============ METHOD DETAIL ========== -->

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<A NAME="learn(com.rapidminer.example.ExampleSet)"><!-- --></A><H3>
learn</H3>
<PRE>
public <A HREF="../../../../../../com/rapidminer/operator/Model.html" title="interface in com.rapidminer.operator">Model</A> <B>learn</B>(<A HREF="../../../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example">ExampleSet</A>&nbsp;exampleSet)
            throws <A HREF="../../../../../../com/rapidminer/operator/OperatorException.html" title="class in com.rapidminer.operator">OperatorException</A></PRE>
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<DD>Learns and returns a model.
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<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../com/rapidminer/operator/learner/Learner.html#learn(com.rapidminer.example.ExampleSet)">learn</A></CODE> in interface <CODE><A HREF="../../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A></CODE></DL>
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<DT><B>Throws:</B>
<DD><CODE><A HREF="../../../../../../com/rapidminer/operator/OperatorException.html" title="class in com.rapidminer.operator">OperatorException</A></CODE></DL>
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<A NAME="train(com.rapidminer.example.ExampleSet)"><!-- --></A><H3>
train</H3>
<PRE>