def fixSettingDictLoadedFromResultsDf(setting_dict):
if 'hidden_layers' in setting_dict.keys():
if type(setting_dict['hidden_layers']) == str:
setting_dict['hidden_layers'] = ast.literal_eval(setting_dict['hidden_layers'])
if 'optimizer' in setting_dict.keys():
if 'GradientDescent' in setting_dict['optimizer']:
setting_dict['optimizer'] = tf.train.GradientDescentOptimizer
elif 'Adagrad' in setting_dict['optimizer']:
setting_dict['optimizer'] = tf.train.AdagradOptimizer
else:
setting_dict['optimizer'] = tf.train.AdamOptimizer
for setting in ['batch_size','decay_steps']:
if setting in setting_dict.keys():
setting_dict[setting] = int(setting_dict[setting])
return setting_dict
helperFuncs.py 文件源码
python
阅读 37
收藏 0
点赞 0
评论 0
评论列表
文章目录