def load_data(self):
""" When a dataset loads we will have to return the following to the program
test_data, test_label, train_data,train_label
"""
no_classes = 5
test_data, test_label, train_data, train_label = load_data_from_mat(self.directory_path, no_classes)
return test_data, test_label, train_data, train_label
def load_data(self):
''' When a dataset loads we will have to return the following to the program
test_data, test_label, train_data,train_label
'''
no_classes = 10
test_data,test_label,train_data,train_label = load_data_from_mat(self.directory_path,no_classes,crossvalidation=self.crossvalidation)
return test_data,test_label,train_data,train_label
def load_data(self):
''' When a dataset loads we will have to return the following to the program
test_data, test_label, train_data,train_label
'''
'''
data_files = load(self.processed_data_filename+'.npz')
test_data = data_files['test_data']
test_label = data_files['test_label']
train_data = data_files['train_data']
train_label = data_files['train_label']
'''
no_classes = 3
test_data,test_label,train_data,train_label = load_data_from_mat(self.directory_path,no_classes,crossvalidation=self.crossvalidation)
return test_data,test_label,train_data,train_label
