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Failure to save model
See original GitHub issueI added a line to the ML pipeline example to persist a model:
pipeline = Pipeline(stages=[estimator])
fitted_pipeline = pipeline.fit(df)
pipeline.save('/path/to/save/elephas-model')
This results in the following error:
ValueError: ('Pipeline write will fail on this pipeline because stage %s of type %s is not MLWritable', 'ElephasEstimator_45da805673f52c212557', <class 'elephas.ml_model.ElephasEstimator'>)
This is against:
git+https://github.com/maxpumperla/elephas.git@cfa51da7d25f35f55728e09561b322c09852d8c0#egg=elephas
Is saving models supported?
Issue Analytics
- State:
- Created 5 years ago
- Comments:5 (3 by maintainers)
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Yes, that’s correct, loss is calculated in Keras. But the label-to-dataframe conversion in elephas might be broken. don’t have much time right now, but I guess the basic ml example in elephas has scalar labels?
In any case, I think this might be a legitimate bug. Would you mind opening a new issue with your full example (or anything I can use to reproduce this) and the full stack trace? I tend to lose track of comments in unrelated issues. thanks!
not yet, but it’s in the making as we speak. it’s in
mp_dl4jbranch with a ton of other cool stuff coming up.