Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Less data #21

Open
sraddhanjali opened this issue Aug 13, 2018 · 2 comments
Open

Less data #21

sraddhanjali opened this issue Aug 13, 2018 · 2 comments

Comments

@sraddhanjali
Copy link

I used your lstm blackbox for a small sized training dataset, and got very poor results? Could you suggest any ideas?

@guillaume-chevalier
Copy link
Owner

How much data is "less data" in your case?

It can depend on all sorts of things. For example, how long is your data, and how do you window it? How many features per time step, and how many classes? Are the classes imbalanced in quantity one compared to another?

@sraddhanjali
Copy link
Author

The data is 3D accelerometer, gyroscope and linear acceleration data and classes are 23. All the time series have been interpolated to equal lengths, but no windowing or features are there per time step. The raw timeseries are used. There are 320 instances of each class for training and the testing has 10 instances of each class.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants