T-SNE

[uliuycy]

Why is the graph I generated from energy data running like this  ori_data = np.asarray(X) generated_data = np.asarray(samples)

[abudesai]

can you share your energy dataset?

[uliuycy]

It's the dataset in your code

[uliuycy]

https://github.com/abudesai/timeVAE/blob/main/datasets/energy_subsampled_train_perc_10.npz Is there a problem with my T-SNE code. I am using the visualization code from Timegan, and the original data is scaled trained data. The generated data is the data generated after normal distribution sampling.

[uliuycy]

Hello, is it possible to compare the data generated after sampling the heavy normal distribution with the training data in a t-sne plot

[abudesai]

I have updated the repo. Sorry, it's a major overhaul because we are now planning to work on the next version of TimeVAE so we wanted to clean things up. If you run src/vae_pipeline.py, it will run through all the datasets, train the model, generate samples, and create and save the t-sne plots for each dataset.