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trained-major.data
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trained-major.data
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<?xml version="1.0" ?>
<PyBrain>
<Network class="pybrain.structure.networks.feedforward.FeedForwardNetwork" name="FeedForwardNetwork-12">
<name val="'FeedForwardNetwork-12'"/>
<Modules>
<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" inmodule="True" name="LinearLayer-5">
<dim val="4"/>
</LinearLayer>
<LinearLayer class="pybrain.structure.modules.linearlayer.LinearLayer" name="LinearLayer-13" outmodule="True">
<dim val="1"/>
</LinearLayer>
<BiasUnit class="pybrain.structure.modules.biasunit.BiasUnit" name="BiasUnit-6"/>
<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="SigmoidLayer-14">
<dim val="25"/>
</SigmoidLayer>
<SigmoidLayer class="pybrain.structure.modules.sigmoidlayer.SigmoidLayer" name="SigmoidLayer-15">
<dim val="5"/>
</SigmoidLayer>
</Modules>
<Connections>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-10">
<inmod val="BiasUnit-6"/>
<outmod val="SigmoidLayer-15"/>
<Parameters>[0.76232263177273496, 0.50205714442040528, -1.2240593960999249, 0.86130559188396183, -0.48198154377184926]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-9">
<inmod val="BiasUnit-6"/>
<outmod val="SigmoidLayer-14"/>
<Parameters>[0.60447252027151255, -1.2102762000272571, 1.0100587300672923, 0.022038373302151887, 1.6811077668227239, 2.3957520270631236, 0.067994833863476656, 0.40286908181323161, 0.39890088990850514, -0.79276251371594897, -0.30499605464057206, -1.6585810246486365, 1.9055283128366283, -2.0959500835745253, 0.51329866983305861, -1.0726876366548481, 1.3424033475287824, -0.69535607197641536, -1.9432130188052052, -0.80633791302301305, -0.86292123180189584, 0.04378728449336703, -0.41162823767486462, -0.65420486925640231, 0.072217004537623752]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-7">
<inmod val="LinearLayer-5"/>
<outmod val="SigmoidLayer-14"/>
<Parameters>[-0.58609341243136748, -0.40586134869693807, 0.0055577167691245677, -0.23368978166325072, 1.4791955717617549, 1.468461060534511, 0.80655182558932581, -0.37067837828345274, 1.0028426111826398, -0.10751399048114887, -0.93183466726072406, 0.47852228238948608, 0.52440216215130619, -1.0105753388110419, 0.37213917202119828, -0.94157496420502007, -1.3022647448859364, -0.77228454694139836, -1.8160035582055098, -1.4216362254285884, -1.9456114556617734, -0.028922436448911997, 0.49624533235592566, 0.96833571469515389, 0.53087034052801918, -2.3446423299601573, 0.84404712478292332, 1.4056257360562985, 0.59088875541395958, -2.0275999381724015, -0.86726618898906249, -0.87524508331445072, 0.82693016159529542, -0.21772844382759435, -1.0064851530265273, 1.3382576725709641, 0.35348789236303074, 1.4589125743291271, -1.0381102620213851, 1.4052879286268636, 0.87928997532950781, 2.5996833720530836, -1.9931972737721331, -0.88884329757826142, -0.32303092573678094, 0.68223020601951867, -1.1126745487907759, -0.89641077584267848, 1.2527981890001167, 0.20348875276295814, -0.61376178474741461, 1.8148433194956606, 0.64626795000694948, -0.78074646686983484, -1.2099811835892609, -1.0420270992064351, 1.2558858795883345, 0.50972600846795124, 0.80015027772562652, 1.2759190534076075, -0.76150684952290815, -1.3693067589775092, 1.3105155541144859, 1.315744205913131, -1.7100322691693617, -1.9574628637354068, 0.54902739396019173, -0.26994603491025471, -2.0282173162883463, -0.38871677699116519, -0.63168564976779562, 2.2994065767337371, -0.3264942310715005, -1.7816108032969624, -1.6334123910612037, -1.1648157429891144, -0.36317843176867665, -0.93711806874219372, 1.7168636033133897, -1.9782063376221304, -1.4038570414695775, 0.74508145282499727, -2.4165808951627858, -1.5713707667558763, -1.403285201530331, -0.074061209319379651, 1.9975035196100135, -0.35035270357597414, -2.4223116968101213, -0.026322668433200934, 0.41440961083058103, 1.5119326208156862, -1.0550521736484926, 0.3017534839838496, 0.57016129238765223, -0.91540885830509089, -1.8721510058034365, 0.59242346438676008, 1.8421688644457017, 0.65578044786810652]</Parameters>
</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-11">
<inmod val="SigmoidLayer-14"/>
<outmod val="SigmoidLayer-15"/>
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</FullConnection>
<FullConnection class="pybrain.structure.connections.full.FullConnection" name="FullConnection-8">
<inmod val="SigmoidLayer-15"/>
<outmod val="LinearLayer-13"/>
<Parameters>[0.63707629126352228, 5.2360662822699249, 3.1726409457393481, 1.1958343549850055, -1.2633638383720376]</Parameters>
</FullConnection>
</Connections>
</Network>
</PyBrain>