In [1]:

    

import os


    

In [2]:

    

ANNOTATIONS=True
BASELINES=True
CV_ARCHITECTURES=True
EVAL_N_SAVE_MODELS=True
APPLY_MODELS=True


    

In [3]:

    

def run_nb(nb):
    print('EXECUTING %s' % nb)
    ret = os.system("jupyter nbconvert --inplace --execute  --ExecutePreprocessor.timeout=-1 %s" % nb)
    print(ret)

def run_nbs(nbs):
    for nb in nbs:
        run_nb(nb)


    

In [ ]:

    

annotations = [
    'Clean\ Annotations.ipynb',
    'Split\ Annotations.ipynb',
    'Baseline\ Annotations.ipynb',
    'Annotation\ Distributions.ipynb',
    'Investigation\ of\ Non\ Recipient\ Attacks.ipynb'
]

if ANNOTATIONS:
    run_nbs(annotations)


    

    




EXECUTING Clean\ Annotations.ipynb
0
EXECUTING Split\ Annotations.ipynb
0
EXECUTING Baseline\ Annotations.ipynb
0
EXECUTING Annotation\ Distributions.ipynb
0
EXECUTING Investigation\ of\ Non\ Recipient\ Attacks.ipynb
0

In [ ]:

    

if BASELINES:
    run_nb('Baselines.ipynb')


    

    




EXECUTING Baselines.ipynb

In [ ]:

    

# hangs, need to run manually
if CV_ARCHITECTURES:
    run_nb('cv_architectures.ipynb')


    

In [ ]:

    

# hangs, need to run manually
if EVAL_N_SAVE_MODELS:
    run_nb('evan_n_save_models.ipynb')


    

In [ ]:

    

# hangs, need to run manually
if APPLY_MODELS:
    run_nb('Apply\ Models.ipynb')