pmlpp/doc_classes/MLPPUtilities.xml

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<?xml version="1.0" encoding="UTF-8" ?>
<class name="MLPPUtilities" inherits="Reference" version="3.11">
<brief_description>
</brief_description>
<description>
</description>
<tutorials>
</tutorials>
<methods>
<method name="bias_initializationr">
<return type="float" />
<description>
</description>
</method>
<method name="bias_initializationv">
<return type="void" />
<argument index="0" name="z" type="MLPPVector" />
<description>
</description>
</method>
<method name="create_mini_batchesm">
<return type="Array" />
<argument index="0" name="input_set" type="MLPPMatrix" />
<argument index="1" name="n_mini_batch" type="int" />
<description>
</description>
</method>
<method name="create_mini_batchesmm">
<return type="Array" />
<argument index="0" name="input_set" type="MLPPMatrix" />
<argument index="1" name="output_set" type="MLPPMatrix" />
<argument index="2" name="n_mini_batch" type="int" />
<description>
</description>
</method>
<method name="create_mini_batchesmv">
<return type="Array" />
<argument index="0" name="input_set" type="MLPPMatrix" />
<argument index="1" name="output_set" type="MLPPVector" />
<argument index="2" name="n_mini_batch" type="int" />
<description>
</description>
</method>
<method name="performance_mat">
<return type="float" />
<argument index="0" name="y_hat" type="MLPPMatrix" />
<argument index="1" name="y" type="MLPPMatrix" />
<description>
</description>
</method>
<method name="performance_pool_int_array_vec">
<return type="float" />
<argument index="0" name="y_hat" type="PoolIntArray" />
<argument index="1" name="output_set" type="MLPPVector" />
<description>
</description>
</method>
<method name="performance_vec">
<return type="float" />
<argument index="0" name="y_hat" type="MLPPVector" />
<argument index="1" name="output_set" type="MLPPVector" />
<description>
</description>
</method>
<method name="weight_initializationm">
<return type="void" />
<argument index="0" name="weights" type="MLPPMatrix" />
<argument index="1" name="type" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" />
<description>
</description>
</method>
<method name="weight_initializationv">
<return type="void" />
<argument index="0" name="weights" type="MLPPVector" />
<argument index="1" name="type" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" />
<description>
</description>
</method>
</methods>
<constants>
<constant name="WEIGHT_DISTRIBUTION_TYPE_DEFAULT" value="0" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_XAVIER_NORMAL" value="1" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_XAVIER_UNIFORM" value="2" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_HE_NORMAL" value="3" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_HE_UNIFORM" value="4" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_LE_CUN_NORMAL" value="5" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_LE_CUN_UNIFORM" value="6" enum="WeightDistributionType">
</constant>
<constant name="WEIGHT_DISTRIBUTION_TYPE_UNIFORM" value="7" enum="WeightDistributionType">
</constant>
</constants>
</class>