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86 lines
2.5 KiB
XML
86 lines
2.5 KiB
XML
<?xml version="1.0" encoding="UTF-8" ?>
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<class name="MLPPMLP" 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="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="initialize">
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<return type="void" />
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<description>
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</description>
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</method>
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<method name="is_initialized">
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<return type="bool" />
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<description>
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</description>
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</method>
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<method name="mbgd">
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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="mini_batch_size" type="int" />
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<argument index="3" 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="model_set_test">
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<return type="MLPPVector" />
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<argument index="0" name="X" type="MLPPMatrix" />
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<description>
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</description>
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</method>
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<method name="model_test">
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<return type="float" />
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<argument index="0" name="x" type="MLPPVector" />
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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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<method name="sgd">
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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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</methods>
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<members>
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<member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.5">
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</member>
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<member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set">
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</member>
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<member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.5">
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</member>
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<member name="n_hidden" type="int" setter="set_n_hidden" getter="get_n_hidden" default="0">
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</member>
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<member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set">
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</member>
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<member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0">
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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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