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This is also a part of sql-machine-learning/models#22, to unify custom model for both SQLFlow and ElasticDL.
Need to update the document https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/design/design_customized_model.md if the feature is implemented.
To use the feature column together with Keras functional API please refer to tensorflow/tensorflow#27416 (comment) for implementation detail.
The text was updated successfully, but these errors were encountered:
PS: we can implement custom model functional API like https://github.com/sql-machine-learning/elasticdl/blob/develop/model_zoo/cifar10_functional_api/cifar10_functional_api.py. The function returns tf.keras.Model should have a more meaningful name describing the current model, like MyDNNClassifier etc.
tf.keras.Model
MyDNNClassifier
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typhoonzero
Successfully merging a pull request may close this issue.
This is also a part of sql-machine-learning/models#22, to unify custom model for both SQLFlow and ElasticDL.
Need to update the document https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/design/design_customized_model.md if the feature is implemented.
To use the feature column together with Keras functional API please refer to tensorflow/tensorflow#27416 (comment) for implementation detail.
The text was updated successfully, but these errors were encountered: