Closed zxhjames closed 2 years ago
I didn't test on time series forecasting applications. However, self-supervised contrastive learning is used here to pretrain the encoder network from the unlabeled data, regardless the downstream task. You can apply the downstream task you want (i.e., classification, forecasting, anomaly detection, etc.) afterwards just by adding the suitable module .
thanks a lot, I will try to test it
Hi, great job! can this model be used for time series forecasting?How's the effect