mirror of https://github.com/Relintai/pmlpp.git
92 lines
2.7 KiB
XML
92 lines
2.7 KiB
XML
<?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>
|