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Thanks for innovating such a splendid work!I am enjoying watching your paper and code.
My question is:
After training and saving the model, how can I inference ?
The text was updated successfully, but these errors were encountered:
Hi,
In one of the scripts in scripts folder (based on the task you want to do) set ckpt_path to address of the model you have saved and is_training to zero.
I am also wondering the inference on the anomaly detection tast. it is shown that the train data is being calculated during test.
combined_energy = np.concatenate([train_energy, test_energy], axis=0)
threshold = np.percentile(
combined_energy, 100 - self.args.anomaly_ratio)
print("Threshold :", threshold)
with this implemention, when dealing with the new data, train data should be calculated first?
how about deployment and predict?
Hi, In one of the scripts in scripts folder (based on the task you want to do) set ckpt_path to address of the model you have saved and is_training to zero.
Thanks for your generous reply! I wonder how can I use UniTS model for forecasting, but I cannot find any instruction about this issue. There is no reference for user.
Thanks for innovating such a splendid work!I am enjoying watching your paper and code.
My question is:
After training and saving the model, how can I inference ?
The text was updated successfully, but these errors were encountered: