Closed jiangtaochen closed 12 months ago
Hi @jiangtaochen, The input to generate predictions is the same as the input to the dataloaders you used in training: numpy arrays. The learner stores the batch_transforms, so it knows what needs to be applied.
Closed due to lack of response.
I was following the tutorial to convert time-series as Images. and the training process is over ;but i have some problem when I using the model to preds the ublabeled test dataset ?what should I to input in the function
learn.get_X_preds(X_test)
?what is the typr of "X_test"? ndarray or TSImage?。 here is my code :+1: training:inference:
when I input the TSImage ,some error occurs:![image](https://user-images.githubusercontent.com/72733459/221813071-d47e0d7c-d012-4b13-b564-b9cd5b841ff5.png)
but when I input array ,it works ,but the accuracy is very low,and all the inference results are all the same,it seems not the right way. so what is the typr of "X_test"? ndarray or TSImage?。