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112 lines
4.7 KiB
112 lines
4.7 KiB
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<title>Coverage for LSTMPredictStock\core\__init__.py: 100%</title>
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<h1>Coverage for <b>LSTMPredictStock\core\__init__.py</b> :
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<span class="pc_cov">100%</span>
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</h1>
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6 statements
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<span class="run hide_run shortkey_r button_toggle_run">6 run</span>
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<span class="mis shortkey_m button_toggle_mis">0 missing</span>
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<span class="exc shortkey_x button_toggle_exc">0 excluded</span>
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<td class="linenos">
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<p id="n1" class="pln"><a href="#n1">1</a></p>
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<p id="n2" class="pln"><a href="#n2">2</a></p>
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<p id="n3" class="pln"><a href="#n3">3</a></p>
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<p id="n4" class="pln"><a href="#n4">4</a></p>
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<p id="n5" class="stm run hide_run"><a href="#n5">5</a></p>
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<p id="n6" class="stm run hide_run"><a href="#n6">6</a></p>
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<p id="n7" class="stm run hide_run"><a href="#n7">7</a></p>
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<p id="n8" class="stm run hide_run"><a href="#n8">8</a></p>
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<p id="n9" class="pln"><a href="#n9">9</a></p>
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<p id="n10" class="stm run hide_run"><a href="#n10">10</a></p>
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<p id="t1" class="pln"><span class="com"># this lstm core module implementation provides an implementation</span><span class="strut"> </span></p>
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<p id="t2" class="pln"><span class="com"># of time series prediction using a lstm approach. It is provided</span><span class="strut"> </span></p>
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<p id="t3" class="pln"><span class="com"># as is with no warranties or support.</span><span class="strut"> </span></p>
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<p id="t4" class="pln"><span class="strut"> </span></p>
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<p id="t5" class="stm run hide_run"><span class="nam">__author__</span> <span class="op">=</span> <span class="str">"Jakob Aungiers"</span><span class="strut"> </span></p>
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<p id="t6" class="stm run hide_run"><span class="nam">__copyright__</span> <span class="op">=</span> <span class="str">"Jakob Aungiers 2018"</span><span class="strut"> </span></p>
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<p id="t7" class="stm run hide_run"><span class="nam">__version__</span> <span class="op">=</span> <span class="str">"2.0.0"</span><span class="strut"> </span></p>
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<p id="t8" class="stm run hide_run"><span class="nam">__license__</span> <span class="op">=</span> <span class="str">"MIT"</span><span class="strut"> </span></p>
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<p id="t9" class="pln"><span class="strut"> </span></p>
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<p id="t10" class="stm run hide_run"><span class="key">import</span> <span class="nam">warnings</span><span class="strut"> </span></p>
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<p id="t11" class="stm run hide_run"><span class="nam">warnings</span><span class="op">.</span><span class="nam">filterwarnings</span><span class="op">(</span><span class="str">"ignore"</span><span class="op">)</span> <span class="com"># ignore messy numpy warnings</span><span class="strut"> </span></p>
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<p>
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<a class="nav" href="index.html">« index</a> <a class="nav" href="https://coverage.readthedocs.io">coverage.py v4.5.2</a>,
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created at 2018-12-21 12:11
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