Comments (3)
ben10ben
commented on May 23, 2024
1
Tried the iTransformer1d with RevIn for the electricity dataset. My implementation is similar to the initial paper but uses 10% more time series.
lookback: 96
pred_length: 96
iTransformer paper MSE: 0.148
train MSE: 0.116, Epoch=10
test MSE: 0.169
Did not get around to doing hyperparameter tuning, but I will hopefully be able to publish a paper beginning of next year.
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lucidrains
commented on May 23, 2024
@ben10ben hey! thanks for catching this, should be fixed
have you tried any of the variants? for your work or otherwise?
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lucidrains
commented on May 23, 2024
nice! looks great! thank you for relaying 💯
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Related Issues (19)
- Where is the paper? HOT 1
- Typo in Description under usage in Readme.md HOT 4
- How to use exogenous variables in iTransformer? HOT 6
- RevIN HOT 20
- Official implementation HOT 1
- Is this a third party library? HOT 1
- is a toy code? no training, just inference? HOT 2
- Why does the time scale affect prediction accuracy?
- Is this a third-party package? Can I combine it with other models? HOT 1
- Can this be used for multi-variable prediction tasks? HOT 1
- Series Stationarization implementation HOT 5
- hyperparameters cause issues HOT 2
- Question about model performance of 2D version. HOT 1
- denormalize fails in iTransformerNormConditioned HOT 14
- ModuleNotFoundError: No module named 'gateloop_transformer' HOT 5
- ModuleNotFoundError: No module named 'iTransformer.iTransformerNormConditioned' HOT 2
- Does the image work? HOT 2
- Problems in generating final prediction HOT 1
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