GOGO

#======================================================================

# Run Benchmarks {GC-DNN, SVR, RF}

def main():

  print("About to retrieve datasets")

  retrieve_datasets()

    val_score = model.evaluate(val, [metric],

                               transformers)['mean-pearson_r2_score']

    print((MODEL, SPLIT, DATASET, train_score, val_score))

if __name__ == "__main__":

  main()

MNIST_data

*.xml

*.png

.ipynb_checkpoints

import os

import sys

import subprocess

import tempfile

def _example_run(path):

  """Checks that the example at the specified path runs corrently.

  Parameters

  ----------

  path: str

    Path to example file.

  Returns

  -------

  result: int 

    Return code. 0 for success, failure otherwise.

  """

  cmd = ["python", path]

  return subprocess.check_output(cmd)

from nose.tools import nottest

def test_adme():

  result, output = _example_run("./adme/run_benchmarks.py")

  print(output)

  assert result == 0

  sys.path.append(0, './adme')

  import run_benchmarks

  run_benchmarks.main()

  del run_benchmarks

  sys.path.remove('./adme')

if __name__ == "__main__":