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I think these may the last remarks for the nightly docs. Only two minor things actually.
This commit is contained in:
walterhenry 2020-10-19 11:11:32 +02:00
parent 75b7f86383
commit db24dc5614
2 changed files with 2 additions and 2 deletions
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2
website/docs/usage/101/_vectors-similarity.md
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@ -115,7 +115,7 @@ print(french_fries, "<->", burgers, french_fries.similarity(burgers))
Computing similarity scores can be helpful in many situations, but it's also
important to maintain **realistic expectations** about what information it can
provide. Words can be related to each over in many ways, so a single
provide. Words can be related to each other in many ways, so a single
"similarity" score will always be a **mix of different signals**, and vectors
trained on different data can produce very different results that may not be
useful for your purpose. Here are some important considerations to keep in mind:

2
website/docs/usage/visualizers.md
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@ -257,7 +257,7 @@ output_path.open("w", encoding="utf-8").write(svg)
Since each visualization is generated as a separate SVG, exporting `.svg` files
only works if you're rendering **one single doc** at a time. (This makes sense –
after all, each visualization should be a standalone graphic.) So instead of
rendering all `Doc`s at one, loop over them and export them separately.
rendering all `Doc`s at once, loop over them and export them separately.
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