mirror of https://github.com/Relintai/pmlpp.git
99 lines
3.4 KiB
XML
99 lines
3.4 KiB
XML
<?xml version="1.0" encoding="UTF-8" ?>
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<class name="MLPPUtilities" 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="bias_initializationr">
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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="bias_initializationv">
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<return type="void" />
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<argument index="0" name="z" type="MLPPVector" />
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<description>
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</description>
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</method>
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<method name="create_mini_batchesm">
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<return type="Array" />
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<argument index="0" name="input_set" type="MLPPMatrix" />
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<argument index="1" name="n_mini_batch" type="int" />
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<description>
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</description>
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</method>
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<method name="create_mini_batchesmm">
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<return type="Array" />
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<argument index="0" name="input_set" type="MLPPMatrix" />
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<argument index="1" name="output_set" type="MLPPMatrix" />
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<argument index="2" name="n_mini_batch" type="int" />
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<description>
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</description>
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</method>
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<method name="create_mini_batchesmv">
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<return type="Array" />
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<argument index="0" name="input_set" type="MLPPMatrix" />
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<argument index="1" name="output_set" type="MLPPVector" />
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<argument index="2" name="n_mini_batch" type="int" />
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<description>
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</description>
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</method>
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<method name="performance_mat">
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<return type="float" />
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<argument index="0" name="y_hat" type="MLPPMatrix" />
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<argument index="1" name="y" type="MLPPMatrix" />
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<description>
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</description>
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</method>
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<method name="performance_pool_int_array_vec">
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<return type="float" />
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<argument index="0" name="y_hat" type="PoolIntArray" />
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<argument index="1" name="output_set" type="MLPPVector" />
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<description>
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</description>
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</method>
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<method name="performance_vec">
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<return type="float" />
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<argument index="0" name="y_hat" type="MLPPVector" />
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<argument index="1" name="output_set" type="MLPPVector" />
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<description>
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</description>
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</method>
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<method name="weight_initializationm">
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<return type="void" />
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<argument index="0" name="weights" type="MLPPMatrix" />
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<argument index="1" name="type" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" />
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<description>
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</description>
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</method>
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<method name="weight_initializationv">
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<return type="void" />
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<argument index="0" name="weights" type="MLPPVector" />
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<argument index="1" name="type" type="int" enum="MLPPUtilities.WeightDistributionType" default="0" />
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<description>
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</description>
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</method>
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</methods>
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<constants>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_DEFAULT" value="0" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_XAVIER_NORMAL" value="1" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_XAVIER_UNIFORM" value="2" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_HE_NORMAL" value="3" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_HE_UNIFORM" value="4" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_LE_CUN_NORMAL" value="5" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_LE_CUN_UNIFORM" value="6" enum="WeightDistributionType">
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</constant>
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<constant name="WEIGHT_DISTRIBUTION_TYPE_UNIFORM" value="7" enum="WeightDistributionType">
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</constant>
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</constants>
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</class>
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