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Software requirements:

  • Python v > 3.5
  • Numpy v > 1.12
  • Tensorflow v > 1.0
  • Pandas > v -0.18
  • scikit-learn v > 0.17.1 (for feature extraction in text task)

Summary of the input and outputs of the code:

  • The specifications for the particular run, including the task, dataset, model, form of the recurrent matrices, the device to run on, initialization, optimizer are given inside the dictionary named 'input_dictionary' as an argument to the main function. The outputs are written in a .npy file after being done with each random hyper-parameter configuration.

Loading custom dataset:

  • The function 'load_data()' in rnns.py handles the data loading. The users can customize this function accordingly.

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