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<div id="projectname">mlpack
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 <span id="projectnumber">master</span>
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<li><a href="annotated.html"><span>Class List</span></a></li>
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<li><a href="classes.html"><span>Class Index</span></a></li>
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<li><a href="inherits.html"><span>Class Hierarchy</span></a></li>
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<li class="current"><a href="functions.html"><span>Class Members</span></a></li>
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<li><a href="functions.html"><span>All</span></a></li>
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<li class="current"><a href="functions_vars.html"><span>Variables</span></a></li>
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<li><a href="functions_type.html"><span>Typedefs</span></a></li>
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<li><a href="functions_enum.html"><span>Enumerations</span></a></li>
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<li><a href="functions_eval.html"><span>Enumerator</span></a></li>
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<li><a href="functions_rela.html"><span>Related Functions</span></a></li>
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<li><a href="functions_vars.html#index_a"><span>a</span></a></li>
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<li><a href="functions_vars_b.html#index_b"><span>b</span></a></li>
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<li><a href="functions_vars_c.html#index_c"><span>c</span></a></li>
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<li><a href="functions_vars_d.html#index_d"><span>d</span></a></li>
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<li><a href="functions_vars_e.html#index_e"><span>e</span></a></li>
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<li><a href="functions_vars_f.html#index_f"><span>f</span></a></li>
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<li><a href="functions_vars_g.html#index_g"><span>g</span></a></li>
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<li><a href="functions_vars_h.html#index_h"><span>h</span></a></li>
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<li><a href="functions_vars_i.html#index_i"><span>i</span></a></li>
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<li><a href="functions_vars_k.html#index_k"><span>k</span></a></li>
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<li><a href="functions_vars_l.html#index_l"><span>l</span></a></li>
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<li><a href="functions_vars_m.html#index_m"><span>m</span></a></li>
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<li><a href="functions_vars_n.html#index_n"><span>n</span></a></li>
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<li><a href="functions_vars_o.html#index_o"><span>o</span></a></li>
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<li><a href="functions_vars_p.html#index_p"><span>p</span></a></li>
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<li><a href="functions_vars_q.html#index_q"><span>q</span></a></li>
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<li><a href="functions_vars_r.html#index_r"><span>r</span></a></li>
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<li><a href="functions_vars_s.html#index_s"><span>s</span></a></li>
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<li><a href="functions_vars_t.html#index_t"><span>t</span></a></li>
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<li><a href="functions_vars_u.html#index_u"><span>u</span></a></li>
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<li><a href="functions_vars_v.html#index_v"><span>v</span></a></li>
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<li class="current"><a href="functions_vars_w.html#index_w"><span>w</span></a></li>
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<li><a href="functions_vars_x.html#index_x"><span>x</span></a></li>
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<li><a href="functions_vars_y.html#index_y"><span>y</span></a></li>
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<li><a href="functions_vars_z.html#index_z"><span>z</span></a></li>
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<div class="contents">
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<h3><a class="anchor" id="index_w"></a>- w -</h3><ul>
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<li>w
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: <a class="el" href="classmlpack_1_1amf_1_1GivenInitialization.html#a1facce6b44885555a72fdd8037b1bb37">mlpack::amf::GivenInitialization</a>
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</li>
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<li>W
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: <a class="el" href="classmlpack_1_1amf_1_1SimpleToleranceTermination.html#a0a0f84a9934da7457207c3ee8f66c0f3">mlpack::amf::SimpleToleranceTermination< MatType ></a>
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, <a class="el" href="classmlpack_1_1amf_1_1ValidationRMSETermination.html#abd7ae3704f27e121e05367c6d16415e7">mlpack::amf::ValidationRMSETermination< MatType ></a>
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</li>
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<li>w
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: <a class="el" href="classmlpack_1_1cf_1_1CF.html#ab042e5fd412d335ac462f9f0f8445975">mlpack::cf::CF</a>
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</li>
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<li>Warn
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: <a class="el" href="classmlpack_1_1Log.html#abbf3c5ac36654c0a8f17be3549388b38">mlpack::Log</a>
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</li>
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<li>weakLearnerType
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: <a class="el" href="classmlpack_1_1adaboost_1_1AdaBoostModel.html#a675cb073fb1148eb662f09b9a04b03c9">mlpack::adaboost::AdaBoostModel</a>
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</li>
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<li>weight
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: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac72cad8bc050bf0841c37c6a8785f624">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Linear.html#a181443d628529d4c448b297d9fc4f4b3">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a345109b4d754e179b6eb6e956a05c2e5">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1WeightSetVisitor.html#a7000066fd6c61fc75d93e6e6b60b44f4">mlpack::ann::WeightSetVisitor</a>
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</li>
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<li>weights
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: <a class="el" href="classmlpack_1_1ann_1_1Add.html#a757c32ee0c6b5ec6ae48b42f629e10e2">mlpack::ann::Add< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7b469fdbc5785c9951cbd5ed2d221efb">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Linear.html#a53c70fbbea85fd880ce065b4e23897bf">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1136b7c629db6bf44ff70d7f34f9d581">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#aedf07ee7a51a34177f8b801202bfe5f1">mlpack::ann::Lookup< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#ab210274648346dfa77300297a00dcf9c">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#aaaa49f6ce741d6925648b05481e8eafd">mlpack::gmm::GMM</a>
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, <a class="el" href="classmlpack_1_1perceptron_1_1Perceptron.html#aab9a1b3af9ee9cda8b57a6110964bb98">mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType ></a>
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</li>
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<li>weightSizeVisitor
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: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a966317dffdb264f8e33e66100f776cab">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a5208e47e9096a235572e20cf9de312a0">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a33034968bc81db083711bac84dc4a1cf">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a456c19be7024124922ee318e8aceb993">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
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</li>
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<li>wf
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: <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockWoodFunction.html#abcaa6f9433de5259df3e0b2f8e878123">mlpack::optimization::test::RosenbrockWoodFunction</a>
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</li>
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<li>width
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: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#ac6169f7111e2199aca80c243dcd2e124">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a3f6521ec91f21a46dde135205815e0e7">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
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</li>
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<li>wl
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: <a class="el" href="classmlpack_1_1adaboost_1_1AdaBoost.html#a22cafa7b3ebe7d9d021103c0f1bdb159">mlpack::adaboost::AdaBoost< WeakLearnerType, MatType ></a>
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</li>
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<li>wolfe
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: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#aa5e89990077485966cb04e687298df1c">mlpack::optimization::L_BFGS< FunctionType ></a>
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</li>
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