hub_text_embedding_column
Module to construct a dense representation from a text feature.
Description
This feature column can be used on an input feature whose values are strings of arbitrary size.
Usage
hub_text_embedding_column(key, module_spec, trainable = FALSE) Arguments
| Arguments | Description |
|---|---|
| key | A string or feature_column identifying the text feature. |
| module_spec | A string handle or a _ModuleSpec identifying the module. |
| trainable | Whether or not the Module is trainable. FALSE by default, meaning the pre-trained weights are frozen. This is different from the ordinary tf.feature_column.embedding_column(), but that one is intended for training from scratch. |