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very low performance
See original GitHub issueHi,
I have tested my model with elephas properly on synchronous mode. but when I evaluated the model on test data, I got a very low accuracy result. I’ve changed every parameter that I could change to see a little change on accuracy. however, the accuracy result on test subset was something around 0.17%.
I was wondering maybe my mode or my parameters could not be compatible for the elephas framework. so I’ve tested the mnist_mlp_spark that is placed in example repo. unfortunately, I’ve achieved 10 percent of accuracy. is there any problem on my ecosystem ? 😕
and another things is that when the mode of fitting is asynchronous, the code will be freezing after the train and does not proceed anymore.
Issue Analytics
- State:
- Created 5 years ago
- Reactions:4
- Comments:6 (3 by maintainers)
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yeah, you’re definitely not seeing ghosts here. I must have broken something in my recent clean-up. Ironically, we have much better unit test coverage now, but the end-to-end examples seem to have issues now. my bad, will try to get around to it as soon as I can.
@Alireza-cman should be fixed in 0.4.2 - sorry for the inconvenience.