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Remove duplicated table (feast-dev#1476)
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docs/quickstart.md

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@@ -190,8 +190,6 @@ training_df.head()
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![\(These feature values are non-deterministic, by the way.\)](.gitbook/assets/feast-landing-page-blog-post-feature-df.png)
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![](.gitbook/assets/feast-landing-page-blog-post-feature-df.png)
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Feast has joined on the correct feature values for the drivers that specified, as of the timestamp we specified.
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This DataFrame contains all the necessary signals needed to train a model, excluding labels, which are typically managed outside of Feast. Before you can train a model, you'll need to join on labels from external systems.

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