def get_hyper_parameters(version, project_path, get_param_space = True):
import hyperparameter.hyperparameter as hp
hp_obj = hp.HyperParameters(version, project_path)
param_dict = hp_obj.get_params()
if get_param_space:
param_dict_space = hp_obj.get_param_space()
return param_dict, param_dict_space
else:
return param_dict
def get_model(model_version, param_version, project_path):
import hyperparameter.hyperparameter as hp
hp_obj = hp.HyperParameters(param_version, project_path)
param_dict = hp_obj.get_params()
model_module_path = "architecture.version" + str(model_version) + ".model"
model_module = importlib.import_module(model_module_path)
inputs = tf.placeholder(tf.float32, shape=(1, 224, 224, 3))
model = model_module.create_model(inputs, param_dict)
return model
def set_hyper_parameter(version, project_path, dict):
import hyperparameter.hyperparameter as hp
hp_obj = hp.HyperParameters(version, project_path)
for key, value in dict.items():
hp_obj.set_parameter(key, value)
hp_obj.dump_parameter()
def get_hyper_parameters(version, project_path):
import hyperparameter.hyperparameter as hp
hp_obj = hp.HyperParameters(version, project_path)
param_dict = hp_obj.get_params()
return param_dict