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@ -1877,7 +1877,7 @@ Licensed under the Apache License, Version 2.0.
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<blockquote><p>The blue boxes show the steps implemented in this notebook.</p>
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<p>In the first part, we have cleaned and transformed our training data. We can now access this data using <code>great_ai.LargeFile</code>. Locally, it will gives us the cached version, otherwise, the latest version is downloaded from S3 or GridFS.</p>
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<p>In this part, we hyperparameter-optimise and train a simple, Naive Bayes classifier which we then export for deployment using <code>great_ai.save_model</code>.</p>
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<p>In this part, we hyperparameter-optimise and train a simple Naive Bayes classifier which we then export for deployment using <code>great_ai.save_model</code>.</p>
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<h2 id="load-data-that-has-been-extracted-in-part-1">Load data that has been extracted in <a href="/examples/simple/data">part 1</a><a class="anchor-link" href="#load-data-that-has-been-extracted-in-part-1">¶</a></h2>
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</div>
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@ -2864,7 +2864,7 @@ save_model(classifier, key="small-domain-prediction", keep_last_n=5)</div>
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<small>
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Last update:
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<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 12, 2022</span>
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<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 15, 2022</span>
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</small>
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