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tutorial/train/index.html
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@ -451,7 +451,7 @@
<li class="md-nav__item">
<a href="../../how-to-guides/use-service/" class="md-nav__link">
How to deploy a GreatAI service
How to perform prediction with GreatAI
</a>
</li>
@ -1962,7 +1962,7 @@ def preprocess(line):
<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
<p>Now, we can load the dataset and extract the <em>training</em> samples from it. Since we're impatient, we can do it in parallel using the <a href="/reference/utilities/#great_ai.utilities.simple_parallel_map"><code>simple_parallel_map</code></a> function.</p>
<blockquote><p>Open files in Python are iterable, with a line being return (in text mode) with each iteration.</p>
<blockquote><p>Open files in Python are iterable: in text mode, each iteration returns the next line.</p>
</blockquote>
</div>
@ -2484,7 +2484,7 @@ save_model(model, key="my-domain-predictor")</div>
<small>
Last update:
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 12, 2022</span>
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 13, 2022</span>
</small>