pmlpp/doc_classes/MLPPProbitReg.xml

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<?xml version="1.0" encoding="UTF-8" ?>
<class name="MLPPProbitReg" inherits="Reference" version="3.11">
<brief_description>
</brief_description>
<description>
</description>
<tutorials>
</tutorials>
<methods>
<method name="gradient_descent">
<return type="void" />
<argument index="0" name="learning_rate" type="float" />
<argument index="1" name="max_epoch" type="int" default="0" />
<argument index="2" name="ui" type="bool" default="false" />
<description>
</description>
</method>
<method name="initialize">
<return type="void" />
<description>
</description>
</method>
<method name="is_initialized">
<return type="bool" />
<description>
</description>
</method>
<method name="mbgd">
<return type="void" />
<argument index="0" name="learning_rate" type="float" />
<argument index="1" name="max_epoch" type="int" />
<argument index="2" name="mini_batch_size" type="int" />
<argument index="3" name="ui" type="bool" default="false" />
<description>
</description>
</method>
<method name="mle">
<return type="void" />
<argument index="0" name="learning_rate" type="float" />
<argument index="1" name="max_epoch" type="int" default="0" />
<argument index="2" name="ui" type="bool" default="false" />
<description>
</description>
</method>
<method name="model_set_test">
<return type="MLPPVector" />
<argument index="0" name="X" type="MLPPMatrix" />
<description>
</description>
</method>
<method name="model_test">
<return type="float" />
<argument index="0" name="x" type="MLPPVector" />
<description>
</description>
</method>
<method name="save">
<return type="void" />
<argument index="0" name="file_name" type="String" />
<description>
</description>
</method>
<method name="score">
<return type="float" />
<description>
</description>
</method>
<method name="sgd">
<return type="void" />
<argument index="0" name="learning_rate" type="float" />
<argument index="1" name="max_epoch" type="int" default="0" />
<argument index="2" name="ui" type="bool" default="false" />
<description>
</description>
</method>
</methods>
<members>
<member name="alpha" type="float" setter="set_alpha" getter="get_alpha" default="0.5">
</member>
<member name="input_set" type="MLPPMatrix" setter="set_input_set" getter="get_input_set">
</member>
<member name="lambda" type="float" setter="set_lambda" getter="get_lambda" default="0.5">
</member>
<member name="output_set" type="MLPPVector" setter="set_output_set" getter="get_output_set">
</member>
<member name="reg" type="int" setter="set_reg" getter="get_reg" enum="MLPPReg.RegularizationType" default="0">
</member>
</members>
<constants>
</constants>
</class>