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<p class="caption"><span class="caption-text">Background</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Features of DeepPurpose</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../introduction.html#features">Features</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../DTI.html">What is drug repurposing, virtual screening and drug-target interaction prediction?</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../DTI.html#drug-repurposing">Drug Repurposing</a></li>
<li class="toctree-l2"><a class="reference internal" href="../DTI.html#virtual-screening">Virtual Screening</a></li>
<li class="toctree-l2"><a class="reference internal" href="../DTI.html#drug-target-interaction">Drug-Target Interaction</a></li>
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<p class="caption"><span class="caption-text">How to run</span></p>
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<p class="caption"><span class="caption-text">Package Reference</span></p>
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<li class="toctree-l1 current"><a class="reference internal" href="../models.html">DeepPurpose.models</a><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="../dtba/classifier.html">Classifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="../dtba/dbta.html">Drug Target Binding Affinity (DTBA) Model</a></li>
<li class="toctree-l2"><a class="reference internal" href="transformer.html">Transformer</a></li>
<li class="toctree-l2"><a class="reference internal" href="mpnn.html">Message Passing Neural Network (MPNN)</a></li>
<li class="toctree-l2"><a class="reference internal" href="cnnrnn.html">CNN+RNN</a></li>
<li class="toctree-l2"><a class="reference internal" href="cnn.html">CNN</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">MLP</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../dataset.html">DeepPurpose.dataset</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../data/read_file_training_dataset_bioassay.html">read_file_training_dataset_bioassay</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/read_file_training_dataset_drug_target_pairs.html">read_file_training_dataset_drug_target_pairs</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/read_file_virtual_screening_drug_target_pairs.html">read_file_virtual_screening_drug_target_pairs</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/read_file_repurposing_library.html">load bioarray dataset (read_file_training_dataset_bioassay)</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/read_file_target_sequence.html">read_file_target_sequence</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/download_BindingDB.html">download_DrugTargetCommons</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/process_BindingDB.html">process_BindingDB</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/load_process_DAVIS.html">load_process_DAVIS</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/load_process_KIBA.html">load_process_KIBA</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/load_AID1706_txt_file.html">load_AID1706_txt_file</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/load_AID1706_SARS_CoV_3CL.html">load_AID1706_SARS_CoV_3CL</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/load_antiviral_drugs.html">load_antiviral_drugs</a></li>
<li class="toctree-l2"><a class="reference internal" href="../data/load_broad_repurposing_hub.html">load_broad_repurposing_hub</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../chemutils.html">DeepPurpose.chemutils</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../chem/onek_encoding_unk.html">DeepPurpose.chemutils.onek_encoding_unk</a></li>
<li class="toctree-l2"><a class="reference internal" href="../chem/atom_features.html">DeepPurpose.chemutils.atom_features</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../oneliner_folder/virtual_screening.html">DeepPurpose.oneliner.virtual_screening</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../utils.html">DeepPurpose.utils</a></li>
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<p class="caption"><span class="caption-text">Importance Function</span></p>
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="../model.html">Drug Target Binding Affinity (DTBA) Model</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../dtba/classifier.html">Classifier</a></li>
<li class="toctree-l2"><a class="reference internal" href="../dtba/dbta.html">Drug Target Binding Affinity (DTBA) Model</a></li>
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<li class="toctree-l1 current"><a class="reference internal" href="../encoder.html">Drug/Target Encoder</a><ul class="current">
<li class="toctree-l2"><a class="reference internal" href="../encoder.html#drug-encoding">Drug encoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../encoder.html#target-encoding">Target encoding</a></li>
<li class="toctree-l2"><a class="reference internal" href="../encoder.html#encoder-model">Encoder Model</a></li>
<li class="toctree-l2 current"><a class="reference internal" href="../encoder.html#technical-details">Technical Details</a><ul class="current">
<li class="toctree-l3"><a class="reference internal" href="transformer.html">Transformer</a></li>
<li class="toctree-l3"><a class="reference internal" href="mpnn.html">Message Passing Neural Network (MPNN)</a></li>
<li class="toctree-l3"><a class="reference internal" href="cnnrnn.html">CNN+RNN</a></li>
<li class="toctree-l3"><a class="reference internal" href="cnn.html">CNN</a></li>
<li class="toctree-l3 current"><a class="current reference internal" href="#">MLP</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../process_data.html">Processing Data</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../process_data.html#drug-target-binding-benchmark-dataset">Drug-Target Binding Benchmark Dataset</a></li>
<li class="toctree-l2"><a class="reference internal" href="../process_data.html#repurposing-dataset">Repurposing Dataset</a></li>
<li class="toctree-l2"><a class="reference internal" href="../process_data.html#bioassay-data-for-covid-19">Bioassay Data for COVID-19</a></li>
<li class="toctree-l2"><a class="reference internal" href="../process_data.html#covid-19-targets">COVID-19 Targets</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../data/read_file_training_dataset_bioassay.html">read_file_training_dataset_bioassay</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/read_file_training_dataset_drug_target_pairs.html">read_file_training_dataset_drug_target_pairs</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/read_file_virtual_screening_drug_target_pairs.html">read_file_virtual_screening_drug_target_pairs</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/read_file_repurposing_library.html">load bioarray dataset (read_file_training_dataset_bioassay)</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/read_file_target_sequence.html">read_file_target_sequence</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/download_BindingDB.html">download_DrugTargetCommons</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/process_BindingDB.html">process_BindingDB</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/load_process_DAVIS.html">load_process_DAVIS</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/load_process_KIBA.html">load_process_KIBA</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/load_AID1706_txt_file.html">load_AID1706_txt_file</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/load_AID1706_SARS_CoV_3CL.html">load_AID1706_SARS_CoV_3CL</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/load_antiviral_drugs.html">load_antiviral_drugs</a></li>
<li class="toctree-l3"><a class="reference internal" href="../data/load_broad_repurposing_hub.html">load_broad_repurposing_hub</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../configuration.html">Configuration</a></li>
<li class="toctree-l1"><a class="reference internal" href="../utility_function.html">Utility Function</a></li>
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<h1>MLP<a class="headerlink" href="#mlp" title="Permalink to this headline">¶</a></h1>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">class</span> <span class="nc">DeepPurpose</span><span class="o">.</span><span class="n">models</span><span class="o">.</span><span class="n">MLP</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">)</span>
</pre></div>
</div>
<p>Multi-Layer Perceptron (MLP) (<a class="reference external" href="https://github.com/kexinhuang12345/DeepPurpose/blob/master/DeepPurpose/models.py#L218">Source</a>)
is a class of feedforward artificial neural network.
An MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer.</p>
<p><strong>constructor</strong> create an instance of MLP</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_dim</span><span class="p">,</span> <span class="n">hidden_dim</span><span class="p">,</span> <span class="n">hidden_dims</span><span class="p">)</span>
</pre></div>
</div>
<ul class="simple">
<li><p><strong>input_dim</strong> (int) - dimension of input feature.</p></li>
<li><p><strong>hidden_dim</strong> (int) - dimension of hidden layer.</p></li>
</ul>
<p><strong>Calling functions</strong> implement the feedforward procedure of MLP.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
</pre></div>
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<ul class="simple">
<li><p><strong>v</strong> (torch.Tensor) - input feature of MLP.</p></li>
</ul>
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