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View Code? Open in Web Editor NEWGANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks
GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks
Hi,
I'm trying to modify the architecture such that the discriminator can take in_dim>1
. Unfortunately I'm met with errors when doing this, and I assume I need to modify the architecture of the models to achieve this. I am trying to model a time series of 45 timesteps and 13 channels. Would you be able to offer some advice in the context of this example?
Many thanks
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