kaist-dmlab / crossmatch Goto Github PK

is there any link for the mHealth & opportunity dataset? The repository seems to have only HAPT dataset.

Can you provide the version of other library with scikit-learn==1.1.0?

is it possible to use other datasets?

is there a code for distributed training of this model, in torch?

Thank you for sharing your excellent work!

I have one question: Is it important to consider cases where labels are mixed when determining the hyperparameter c_max? I'm curious about how to set c_max when time series have significantly different label lengths.

I appreciate your response in advance.

is there any guideline for selecting the context length?

Can this study be applied to other time series data? I'm curious about the data selection criteria for mHealth, HAPT, opportunity.

Can we apply CrossMatch to other downstream supervised learning, such as forecasting and regression?

What Tensorflow version did you use?

Is there a Torch version code accessible?

Hello author,
Thanks for the release of the code of your paper. I love your work.

Can I apply CrossMatch to Transformer-based networks?
If not, what's the reason?

I appreciate any help you can provide.

:)

python 3.9.12
tensorflow 2.9.1
numpy 1.21.5
pandas 1.4.2
matplotlib 3.5.1
tqdm 4.64.6

I think it will work on the latest versions.

Can CrossMatch be applied on image datasets?

Are there any materials that explain the data set?

Where can I get the paper for now?