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explanation/explanation.md
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A lot more details and discussion about the problem context and approaches of GreatAI can be found in my thesis.
<div style="display: flex; justify-content: space-evenly;" markdown>
[::fontawesome-solid-graduation-cap: Download](thesis/main.py){ .md-button .md-button--primary }
[::fontawesome-solid-graduation-cap: Download](thesis/main.pdf){ .md-button .md-button--primary }
</div>

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explanation/index.html
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<li class="md-nav__item">
<a href="../how-to-guides/configure-service/" class="md-nav__link">
How to configure GreatAI
</a>
</li>
<li class="md-nav__item">
<a href="../how-to-guides/use-service/" class="md-nav__link">
How to use a GreatAI service
</a>
</li>
<li class="md-nav__item">
<a href="../how-to-guides/handle-training-data/" class="md-nav__link">
How to handle training data
</a>
</li>
<li class="md-nav__item">
<a href="../how-to-guides/large_file/" class="md-nav__link">
How to use LargeFile
</a>
</li>
<li class="md-nav__item">
<a href="../how-to-guides/call_remote.md" class="md-nav__link">
None
</a>
</li>
<li class="md-nav__item">
<a href="../how-to-guides/scraping/" class="md-nav__link">
Scraping
</a>
</li>
</ul>
</nav>
</li>
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<li class="md-nav__item">
<a href="../reference/" class="md-nav__link">
Reference
GreatAI reference
</a>
</li>
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<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5" type="checkbox" id="__nav_5" >
<label class="md-nav__link" for="__nav_5">
Examples
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" aria-label="Examples" data-md-level="1">
<label class="md-nav__title" for="__nav_5">
<span class="md-nav__icon md-icon"></span>
Examples
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<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item md-nav__item--nested">
<input class="md-nav__toggle md-toggle" data-md-toggle="__nav_5_1" type="checkbox" id="__nav_5_1" >
<label class="md-nav__link" for="__nav_5_1">
Explainable Naive Bayes
<span class="md-nav__icon md-icon"></span>
</label>
<nav class="md-nav" aria-label="Explainable Naive Bayes" data-md-level="2">
<label class="md-nav__title" for="__nav_5_1">
<span class="md-nav__icon md-icon"></span>
Explainable Naive Bayes
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="../examples/simple/data/" class="md-nav__link">
Train a domain classifier on the semantic scholar dataset
</a>
</li>
<li class="md-nav__item">
<a href="../examples/simple/train/" class="md-nav__link">
Train a domain classifier on the semantic scholar dataset
</a>
</li>
<li class="md-nav__item">
<a href="../examples/simple/deploy/" class="md-nav__link">
Train a domain classifier on the semantic scholar dataset
</a>
</li>
</ul>
</nav>
</li>
</ul>
</nav>
</li>
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<h1 id="explanation">Explanation<a class="headerlink" href="#explanation" title="Permanent link">#</a></h1>
<p>A lot more details and discussion about the problem context and approaches of GreatAI can be found in my thesis.</p>
<div style="display: flex; justify-content: space-evenly;">
<p><a class="md-button md-button--primary" href="thesis/main.py">:<span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M623.1 136.9 340.4 35.7a62.951 62.951 0 0 0-42.43 0L16.05 136.9C6.438 140.4 0 149.6 0 160s6.438 19.65 16.05 23.09l60.02 21.51c-11.89 15.8-20.26 34.16-24.55 53.95C40.05 263.4 32 274.8 32 288c0 9.953 4.814 18.49 11.94 24.36l-24.83 149C17.48 471.1 25 480 34.89 480h58.22c9.887 0 17.41-8.879 15.78-18.63l-24.83-149C91.19 306.5 96 297.1 96 288c0-10.29-5.174-19.03-12.72-24.89a106.301 106.301 0 0 1 24.94-47.03l190.6 68.23a62.951 62.951 0 0 0 42.43 0l282.7-101.2C633.6 179.6 640 170.4 640 160s-6.4-19.6-16.9-23.1zm-272 177.5c-9.4 3.7-20.2 5.6-31.1 5.6a94.767 94.767 0 0 1-32-5.555L142.8 262.5 128 405.3c0 41.3 85.1 74.7 192 74.7 105.1 0 192-33.4 192-74.67l-14.78-142.9L351.1 314.4z"/></svg></span> Download</a></p>
<p><a class="md-button md-button--primary" href="thesis/main.pdf">:<span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512"><!--! Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M623.1 136.9 340.4 35.7a62.951 62.951 0 0 0-42.43 0L16.05 136.9C6.438 140.4 0 149.6 0 160s6.438 19.65 16.05 23.09l60.02 21.51c-11.89 15.8-20.26 34.16-24.55 53.95C40.05 263.4 32 274.8 32 288c0 9.953 4.814 18.49 11.94 24.36l-24.83 149C17.48 471.1 25 480 34.89 480h58.22c9.887 0 17.41-8.879 15.78-18.63l-24.83-149C91.19 306.5 96 297.1 96 288c0-10.29-5.174-19.03-12.72-24.89a106.301 106.301 0 0 1 24.94-47.03l190.6 68.23a62.951 62.951 0 0 0 42.43 0l282.7-101.2C633.6 179.6 640 170.4 640 160s-6.4-19.6-16.9-23.1zm-272 177.5c-9.4 3.7-20.2 5.6-31.1 5.6a94.767 94.767 0 0 1-32-5.555L142.8 262.5 128 405.3c0 41.3 85.1 74.7 192 74.7 105.1 0 192-33.4 192-74.67l-14.78-142.9L351.1 314.4z"/></svg></span> Download</a></p>
</div>
<hr>
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<small>
Last update:
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 9, 2022</span>
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 11, 2022</span>
</small>
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<nav class="md-footer__inner md-grid" aria-label="Footer" >
<a href="../reference/views/" class="md-footer__link md-footer__link--prev" aria-label="Previous: View models" rel="prev">
<a href="../examples/simple/deploy/" class="md-footer__link md-footer__link--prev" aria-label="Previous: Train a domain classifier on the semantic scholar dataset" rel="prev">
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<span class="md-footer__direction">
Previous
</span>
View models
Train a domain classifier on the semantic scholar dataset
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