Nikhil created MADLIB-1223:
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Summary: MLP regression predict fails if input table does not exist
Key: MADLIB-1223
URL: https://issues.apache.org/jira/browse/MADLIB-1223
Project: Apache MADlib
Issue Type: Bug
Components: Module: Neural Networks
Reporter: Nikhil
Fix For: v1.14
If a model is trained with mlp regression and then the input table is dropped,
mlp predict fails for that model.
Ideally the predict function should not depend on the existence of the training
data.
The predict code for regression only needs to know if the dependent varname
type is an array or not. This information can be potentially stored in the
model's summary table.
We also need to make sure that the predict function is backwards compatible.
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