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How to use word embedding as a feature ? #34

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somnathasati opened this issue Jun 23, 2017 · 2 comments
Open

How to use word embedding as a feature ? #34

somnathasati opened this issue Jun 23, 2017 · 2 comments

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@somnathasati
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I want to know, if there exist any way to pass word vector extracted from word2vec as a feature ? or, i have to use/change something else in place of existing feature hashing ? Great Thanks !

@kmike
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kmike commented Jun 23, 2017

There is no feature hashing, seqlearn estimators require feature matrix X which can contain arbitrary features, including word vectors.

@warshallrho
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There is no feature hashing, seqlearn estimators require feature matrix X which can contain arbitrary features, including word vectors.

@kmike
Hi, does it mean I can directly use feature matrix X, even if it is not sparse, without feature hashing? Thanks a lot!

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