#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()
