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scrape abstraction for input batch size requirements #26

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timothyyu opened this issue May 6, 2018 · 2 comments
Open

scrape abstraction for input batch size requirements #26

timothyyu opened this issue May 6, 2018 · 2 comments
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bug Something isn't working enhancement New feature or request question Further information is requested

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@timothyyu
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timothyyu commented May 6, 2018

limit n size for input batch for stateful = True
i.e. loop abstraction to split 10 hours of data into 1 hour each, or 15min x4 per hour for training and validation; related to train_test_split issue

@timothyyu timothyyu added bug Something isn't working enhancement New feature or request question Further information is requested labels May 6, 2018
@timothyyu timothyyu self-assigned this May 6, 2018
@timothyyu
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closely related to #22

@timothyyu
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related to #50;
needs work due to fixed batch input size due to RNN Stateful = True

Relevant:
https://stackoverflow.com/questions/43702481/why-does-keras-lstm-batch-size-used-for-prediction-have-to-be-the-same-as-fittin

Tensorflow can predict with different batch and step size than keras; Keras cannot

Alternate: create two models in keras:

  1. First model used for training
  2. Second model used for predictions, but share weights from both models

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