In [1]:

    

import pickle


    

In [24]:

    

file = "/home/galvan/development/RNNs/models/temporal_order_plain, min_length: 70_14_multi_run/results.pkl"
data = pickle.load(open(file, "rb"))


    

In [25]:

    

data = sorted(data, key=lambda d: d['n_iters'])
print("n_rows:{}".format(len(data)))


    

    




n_rows:119

In [26]:

    

data[0]


    

    
Out[26]:





{'clip_thr': 0.10000000000000001,
 'id': 77,
 'lr': 0.020000000000000004,
 'n_iters': 20400,
 'std_dev': 0.05}

In [27]:

    

data[1]


    

    
Out[27]:





{'clip_thr': 0.080000000000000002,
 'id': 109,
 'lr': 0.030000000000000006,
 'n_iters': 35000,
 'std_dev': 0.05}

In [28]:

    

data[2]


    

    
Out[28]:





{'clip_thr': 0.040000000000000008,
 'id': 93,
 'lr': 0.030000000000000006,
 'n_iters': 45000,
 'std_dev': 0.05}