model giving same output prediction

[max6457]

Issue description

hello,
I have the problem that my trained models gives me the same output for no matter which input I have.
Is it a problem with the data or maybe the model/my training of the model?
So here are the labels & it's amount in the dataset:

Now my problem is tht when I use the classify feature to classify my test dataset the only label which raindrop predicts is 0:

I have only trained the model for some epochs to check it because training is pricy :), but may it be that this causes this issue or should I change the data preprocessing?

[WenjieDu]

Hi, I can't tell where the problem is with the information you've given. But I personally think this is probably caused by your data. Did you initialize your Raindrop model properly? Please show me your code here so I can see if I can help further. You can also raise a discussion in our Slack community to chat instantly.

[WenjieDu]

@max6457 Hi Max, I didn't receive further feedback from you in the past two weeks. Just want to check with you if you have solved the problem.

[max6457]

Hello, thanks for your response and I wanted to apologize for my late reply. I am currently working on the data preprocessing, because this is the most important part for the project and here can be done a lot of mistakes. I will reach out with updates, I think I will be able to try to train the next model in a few days. Thanks a lot!

[WenjieDu]

You can also take a look at the tutorials in https://github.com/WenjieDu/BrewPOTS to learn how to use PyPOTS.

[WenjieDu]

I'm closing this issue. If you @max6457 have any follow-up, welcome to reopen it.