You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
i need to formalize my forecasting problem as predicting one-step-ahead using lag say equal 3.
when i do that the patch in will be [num of patches, patch_size, 3, 1] and patch out will be [num of patches, patch_size, 1, 1] and that gives me the following error in train method
InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [3,1,25] vs. shape[1] = [1,1,1]
The text was updated successfully, but these errors were encountered:
i need to formalize my forecasting problem as predicting one-step-ahead using lag say equal 3.
when i do that the patch in will be [num of patches, patch_size, 3, 1] and patch out will be [num of patches, patch_size, 1, 1] and that gives me the following error in train method
InvalidArgumentError (see above for traceback): ConcatOp : Dimensions of inputs should match: shape[0] = [3,1,25] vs. shape[1] = [1,1,1]
The text was updated successfully, but these errors were encountered: