Comments (3)
elibixby
commented on May 22, 2024
The way the terminology "sparse" is used in feature_columns is synonymous with categorical inputs which need a dense encoding (generally integerizing with hashes, or one hot).
This unfortunately gets confused with the meaning of "sparse" from an inputs perspective, which means "variable length input tensors". So e.g. tf.contrib.layers.create_feature_spec_for_parsing cannot be used to infer parsing spec for the columns.
In the example, we should probably be using the column.dtype property to build inputs, but this property does not reliably exist on the parent _FeatureColumn class. I'll send a fix in that should address this though, thanks for the report!
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puneith
commented on May 22, 2024
@ericsheetz Sorry its been a while. Can you please confirm its still an issue since we have moved everything away from contrib in TF1.4.
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puneith
commented on May 22, 2024
@ericsheetz Closing this issue due to no activity. Please feel to reopen or create a new issue.
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