Tags
#deeplearning #embeddings #nlp
Question
What EDA and step is made possible with Entity Embeddings of Categorical Variables, otherwise only meaningfull with Numerical Features?
Answer
As entity embedding defines a distance measure for categorical variables it can be used for visualizing categorical data and for data clustering.
Tags
#deeplearning #embeddings #nlp
Question
What EDA and step is made possible with Entity Embeddings of Categorical Variables, otherwise only meaningfull with Numerical Features?
Tags
#deeplearning #embeddings #nlp
Question
What EDA and step is made possible with Entity Embeddings of Categorical Variables, otherwise only meaningfull with Numerical Features?
Answer
As entity embedding defines a distance measure for categorical variables it can be used for visualizing categorical data and for data clustering.
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pdf
owner:
ronaldokun - (no access) - Entity Embeddings as Categorical Variables , p1
Summary
| status | not learned | | measured difficulty | 37% [default] | | last interval [days] | |
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| repetition number in this series | 0 | | memorised on | | | scheduled repetition | |
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| scheduled repetition interval | | | last repetition or drill | | | | |
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Details
No repetitions