From 4e9daec073153d5e8e309451c5f2eb32531ff004 Mon Sep 17 00:00:00 2001 From: Vidhant Maini Date: Tue, 5 Sep 2023 18:14:36 -0700 Subject: [PATCH] Fix typo in featurization.ipynb --- docs/examples/featurization.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/examples/featurization.ipynb b/docs/examples/featurization.ipynb index b1b80164..d239e767 100644 --- a/docs/examples/featurization.ipynb +++ b/docs/examples/featurization.ipynb @@ -241,7 +241,7 @@ "source": [ "### Using feature hashing\n", "\n", - "In fact, the `StringLookup` layer allows us to configure multiple OOV indices. If we do that, any raw value that is not in the vocabulary will be deterministically hashed to one of the OOV indices. The more such indices we have, the less likley it is that two different raw feature values will hash to the same OOV index. Consequently, if we have enough such indices the model should be able to train about as well as a model with an explicit vocabulary without the disdvantage of having to maintain the token list." + "In fact, the `StringLookup` layer allows us to configure multiple OOV indices. If we do that, any raw value that is not in the vocabulary will be deterministically hashed to one of the OOV indices. The more such indices we have, the less likely it is that two different raw feature values will hash to the same OOV index. Consequently, if we have enough such indices the model should be able to train about as well as a model with an explicit vocabulary without the disdvantage of having to maintain the token list." ] }, {