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It would be nice to have text-mined element embeddings in matminer. A whole separate study might compare these against MAGPIE-style descriptors.
The general strategy would be:
Add the raw embedding data to matminer.utils.data_files
Implement the embedding data in matminer.utils.data as a subclass of the AbstractData object
Implement the embedding featurize as a preset value in ElementProperty Featurizer in matminer.featurizers.composition. Once you have the embeddings as "AbstractData" above this step should be simple.
Sure, what would you think about also adding a separate (but related) festurizer for the word embeddings of entire materials? leigh mentioned he could also give the embeddings for all materials, so this featurizer would just return the word embedding for a formula and would throw an error if the formula was not found/known
It would be nice to have text-mined element embeddings in matminer. A whole separate study might compare these against MAGPIE-style descriptors.
The general strategy would be:
@ardunn can you work with Leigh on this?
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