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A comment on An End-to-End AutoML Solution for Tabular Data at KaggleDays.

Re:An End-to-End AutoML Solution for Tabular Data at KaggleDays by villux on Friday May 10, 2019 @03:20AM (#19875776)
Does someone know what process they use for feature engineering?
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Re:An End-to-End AutoML Solution for Tabular Data at KaggleDays by faizshah on Friday May 10, 2019 @05:57AM (#19876409)
>Feature engineering

>When you kick off training, AutoML Tables automatically performs common feature engineering tasks for you, including:

>Normalize and bucketize numeric features.

>Create one-hot encoding and embeddings for categorical features.

>Perform basic processing for text features.

>Extract date- and time-related features from Timestamp columns.

Source: https://cloud.google.com/automl-tables/docs/features#feature...

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Re:An End-to-End AutoML Solution for Tabular Data at KaggleDays by ptah on Friday May 10, 2019 @03:39AM (#19875869)
from the diagram on that page it looks like it is automated https://2.bp.blogspot.com/-kIut-J_oCmI/XNRSSXIyZ3I/AAAAAAAAE...
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Re:An End-to-End AutoML Solution for Tabular Data at KaggleDays by villux on Friday May 10, 2019 @03:59AM (#19875959)
Yes I would be curious to know more insights on that automated process
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