def save(self, path_file):
""" Save the model paremeters of the model (.params) and Compress
them into a zip file
"""
# Ensuring the file has the proper name
folder_name = os.path.dirname(path_file) + '/'
file_name = os.path.basename(path_file)
# Checking if the folder is accessible
if not os.access(folder_name, os.W_OK):
error_msg = '{} is not an accessible directory.'.format(folder_name)
raise OSError(error_msg)
# Delete the CPP object before saving
del self.model
# Saving the model
super(NonParametricModel, self).save(path_file)
# Re-introduce the C++ object
if 'smooth' in self.name.lower() :
self.model = _KernelModel(self.bandwidth, self.kernel_type)
else:
self.model = _KaplanMeierModel()
self.load_properties()
def __init__(self):
# Initializing the C++ object
self.model = _KaplanMeierModel()
# Saving the attributes
self.__repr__()
self.not_implemented_error = "{} does not have this method."\
.format(self.name)
def load(self, path_file):
""" Load the model paremeters from a zip file into a C++ external
model
"""
# Loading the model
super(NonParametricModel, self).load(path_file)
# Re-introduce the C++ object
if 'smooth' in self.name.lower() :
self.model = _KernelModel(self.bandwidth, self.kernel_type)
else:
self.model = _KaplanMeierModel()
self.load_properties()