Multiple features #5
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Right now it would estimate those separately. You can list multiple predictors in the step. |
topepo
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`step_embed2` is a test version that uses all categorical variables in the same model and allows for other predictors in the network. Code is based on https://flovv.github.io/Embeddings_with_keras_part2/
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The current version contains changes to estimate multiple embeddings at once. |
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Could you add an example of how you would use embed when you want to create/get embeddings from multiple categorical variables? My assumption is you would have multiple embedding layers, but train the model at once. Is that possible with embed? Can you provide an example of that? I hope this makes sense. (This would be like Fig. 1 in the Guo & Berkhahn paper)
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