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cair · Feb 9, 2024 · b3f6f78 · b3f6f78
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diff --git a/DimensionalityReductionDemo_8py.html b/DimensionalityReductionDemo_8py.html
@@ -116,7 +116,7 @@
 <tr class="separator:a2ffacefd85c4bf7e85685105a3a25f0b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a94960b2af438191aca84d0ea3a690af3"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a94960b2af438191aca84d0ea3a690af3">T</a> = 8*10</td></tr>
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-<tr class="memitem:abc63fbbfe6695db4891c2cfa0bd8045a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#abc63fbbfe6695db4891c2cfa0bd8045a">tm</a> = TMAutoEncoder(clauses, T, s, output_active, max_included_literals=3, accumulation=accumulation, feature_negation=True, platform='CPU', output_balancing=True)</td></tr>
+<tr class="memitem:abc63fbbfe6695db4891c2cfa0bd8045a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#abc63fbbfe6695db4891c2cfa0bd8045a">tm</a> = TMAutoEncoder(clauses, T, s, output_active, max_included_literals=3, accumulation=accumulation, feature_negation=True, platform='CPU', output_balancing=0.5)</td></tr>
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 <tr class="memitem:a025e7807c1d898d829ddfc91a937fc78"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a025e7807c1d898d829ddfc91a937fc78">weights</a> = tm.get_weights(i)</td></tr>
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diff --git a/namespaceautoencoder_1_1DimensionalityReductionDemo.html b/namespaceautoencoder_1_1DimensionalityReductionDemo.html
@@ -110,7 +110,7 @@
 <tr class="separator:a2ffacefd85c4bf7e85685105a3a25f0b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a94960b2af438191aca84d0ea3a690af3"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a94960b2af438191aca84d0ea3a690af3">T</a> = 8*10</td></tr>
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-<tr class="memitem:abc63fbbfe6695db4891c2cfa0bd8045a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#abc63fbbfe6695db4891c2cfa0bd8045a">tm</a> = <a class="el" href="classtmu_1_1models_1_1autoencoder_1_1autoencoder_1_1TMAutoEncoder.html">TMAutoEncoder</a>(<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a862ffda9db094a1804240910a80b2835">clauses</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a94960b2af438191aca84d0ea3a690af3">T</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a874f74a4dc1c9a0cd9c6e0d79c298f55">s</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#ae9f0c83cc8ab00adecd349adcc96483f">output_active</a>, max_included_literals=3, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>=<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>, feature_negation=True, platform='CPU', output_balancing=True)</td></tr>
+<tr class="memitem:abc63fbbfe6695db4891c2cfa0bd8045a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#abc63fbbfe6695db4891c2cfa0bd8045a">tm</a> = <a class="el" href="classtmu_1_1models_1_1autoencoder_1_1autoencoder_1_1TMAutoEncoder.html">TMAutoEncoder</a>(<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a862ffda9db094a1804240910a80b2835">clauses</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a94960b2af438191aca84d0ea3a690af3">T</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a874f74a4dc1c9a0cd9c6e0d79c298f55">s</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#ae9f0c83cc8ab00adecd349adcc96483f">output_active</a>, max_included_literals=3, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>=<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>, feature_negation=True, platform='CPU', output_balancing=0.5)</td></tr>
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 <tr class="memitem:a025e7807c1d898d829ddfc91a937fc78"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a025e7807c1d898d829ddfc91a937fc78">weights</a> = tm.get_weights(i)</td></tr>
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@@ -377,7 +377,7 @@ <h2 class="memtitle"><span class="permalink"><a href="#abc63fbbfe6695db4891c2cfa
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-          <td class="memname">tm = <a class="el" href="classtmu_1_1models_1_1autoencoder_1_1autoencoder_1_1TMAutoEncoder.html">TMAutoEncoder</a>(<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a862ffda9db094a1804240910a80b2835">clauses</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a94960b2af438191aca84d0ea3a690af3">T</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a874f74a4dc1c9a0cd9c6e0d79c298f55">s</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#ae9f0c83cc8ab00adecd349adcc96483f">output_active</a>, max_included_literals=3, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>=<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>, feature_negation=True, platform='CPU', output_balancing=True)</td>
+          <td class="memname">tm = <a class="el" href="classtmu_1_1models_1_1autoencoder_1_1autoencoder_1_1TMAutoEncoder.html">TMAutoEncoder</a>(<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a862ffda9db094a1804240910a80b2835">clauses</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a94960b2af438191aca84d0ea3a690af3">T</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a874f74a4dc1c9a0cd9c6e0d79c298f55">s</a>, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#ae9f0c83cc8ab00adecd349adcc96483f">output_active</a>, max_included_literals=3, <a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>=<a class="el" href="namespaceautoencoder_1_1DimensionalityReductionDemo.html#a904acd5c7e89ecf851667a8cc65af971">accumulation</a>, feature_negation=True, platform='CPU', output_balancing=0.5)</td>
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