#ano = imp.load_source('Anomaly','anomoly_detect.py') import numpy as np from importlib.machinery import SourceFileLoader data = SourceFileLoader("data", "Utility/data.py").load_module() ano = SourceFileLoader('anomoly_detect', 'Unsupervised/anomoly_detect.py').load_module() X = np.array([[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [1, 3, 5, 7, 9, 11, 9, 7, 5, 3, 1]]) Y = np.array([[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) #obj = data.Data(X,11) #hell = obj.Normalize() #obj.featureScale() #print(obj.mu) d = ano.Anomoly(X) print(d.anomolyDetect(np.array([[1], [1]]))) #batches = obj.mini_batch(batchsize=3) #obj2 = data.Data(X,11,label=Y) #batches = obj2.mini_batch(batchsize=3) #print(batches[0].Y) #obj2.shuffle() #print(obj2.data) #print(obj2.Y) #obj2.info()