Closed isaacmg closed 6 years ago
Graphpipe allows easy serving and exporting of models see https://github.com/oracle/graphpipe-tf-py/blob/master/examples/RemoteModelWithGraphPipe.ipynb . However, it does not address the preprocessing and post processing stages only the actual final steps. Therefore we should include compatibility in model.predict
from graphpipe import remote # Predict function for graph pipe class GraphPipeModel(ModelAgnostic): def predict(self, preprocessed_data): y = remote.execute(self.graph_pipe_url, preprocessed) # Then call postprocess
Done. 8c6d3cd83b3c41c50f0609c90eaf233ab8eb088f
Graphpipe allows easy serving and exporting of models see https://github.com/oracle/graphpipe-tf-py/blob/master/examples/RemoteModelWithGraphPipe.ipynb . However, it does not address the preprocessing and post processing stages only the actual final steps. Therefore we should include compatibility in model.predict