def load_variables(cls, binary_class, data_path):
self = MultipleSvm(binary_class)
# dir(self).pp()
file_path = os.path.join(data_path, self.variables_file_name)
keys = json_helper.load(file_path)
keys = map(tuple, keys)
self.label_tuple = tuple(set(flatten_for_two_layers(keys)))
for classifying_key in keys:
file_prefix = self.gen_prefix_from_list(classifying_key)
transfer_hash = self.gen_binary_transfer_hash(classifying_key)
self.classifying_hash[classifying_key] = self.binary_class.load_variables(data_path, file_prefix)
return self
def load_variables(cls, data_path="dataset", prefix=""):
paths = cls.get_file_paths(data_path, prefix)
selected_data_matrix = numpy.load(paths["selected_data_matrix"])
selected_alphas_label_matrix = numpy.load(paths["selected_alphas_label_matrix"])
other_variables = json_helper.load(paths["other_variables"])
other_variables["transfer_hash"] = dict(other_variables["transfer_hash"])
return cls(
selected_data_matrix,
selected_alphas_label_matrix,
other_variables["b"],
other_variables["arg_exp"],
other_variables["transfer_hash"],
)
