mirror of
https://github.com/Relintai/pmlpp.git
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65 lines
2.2 KiB
XML
65 lines
2.2 KiB
XML
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<?xml version="1.0" encoding="UTF-8" ?>
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<class name="MLPPWGAN" inherits="Reference" version="3.11">
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<brief_description>
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</brief_description>
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<description>
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</description>
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<tutorials>
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</tutorials>
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<methods>
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<method name="add_layer">
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<return type="void" />
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<argument index="0" name="activation" type="int" />
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<argument index="1" name="weight_init" type="int" enum="MLPPActivation.ActivationFunction" />
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<argument index="2" name="reg" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" />
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<argument index="3" name="lambda" type="int" enum="MLPPReg.RegularizationType" default="0" />
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<argument index="4" name="alpha" type="float" default="0.5" />
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<argument index="5" name="arg5" type="float" default="0.5" />
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<description>
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</description>
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</method>
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<method name="add_output_layer">
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<return type="void" />
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<argument index="0" name="weight_init" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" />
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<argument index="1" name="reg" type="int" enum="MLPPReg.RegularizationType" default="0" />
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<argument index="2" name="lambda" type="float" default="0.5" />
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<argument index="3" name="alpha" type="float" default="0.5" />
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<description>
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</description>
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</method>
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<method name="generate_example">
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<return type="MLPPMatrix" />
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<argument index="0" name="n" type="int" />
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<description>
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</description>
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</method>
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<method name="gradient_descent">
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<return type="void" />
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<argument index="0" name="learning_rate" type="float" />
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<argument index="1" name="max_epoch" type="int" />
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<argument index="2" name="ui" type="bool" default="false" />
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<description>
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</description>
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</method>
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<method name="save">
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<return type="void" />
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<argument index="0" name="file_name" type="String" />
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<description>
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</description>
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</method>
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<method name="score">
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<return type="float" />
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<description>
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</description>
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</method>
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</methods>
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<members>
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<member name="k" type="int" setter="set_k" getter="get_k" default="0">
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</member>
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<member name="output_set" type="MLPPMatrix" setter="set_output_set" getter="get_output_set">
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</member>
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</members>
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<constants>
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</constants>
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</class>
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