Testing some models on this kaggle data set
Model | Mean Squared Error | Mean Absolute error | Details |
---|---|---|---|
Multilayer-GRU | 0.0007788221697455181 | 0.026117904067719574 | Notebook |
Bi-directional LSTM | 6.159634463135478e-05 | 0.007467821835500006 | Notebook |
Comparison of few deep learning models on 15m interval USD/EUR time series data
Testing some models on this kaggle data set
Model | Mean Squared Error | Mean Absolute error | Details |
---|---|---|---|
Multilayer-GRU | 0.0007788221697455181 | 0.026117904067719574 | Notebook |
Bi-directional LSTM | 6.159634463135478e-05 | 0.007467821835500006 | Notebook |
While i try run benchmark code, there is error seem bi_rnn_weights is not create from step above.
I try to use model.save_weights & model.load_weights but not working also.
Could you have a look this part?
model.save_weights(filepath) saves the weights of the model as a HDF5 file.
model.load_weights(filepath, by_name=False) loads the weights of the model from a HDF5 file (created by save_weights). By default, the architecture is expected to be unchanged. To load weights into a different architecture (with some layers in common), use by_name=True to load only those layers with the same name.
When I am trying to run the Benchmark code of baseline-experiment.ipynb. It shows an error that baseline_wights_loc is not defined.
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