if __name__ == "__main__":
print('Caso 4 Outliers - Prueba de robustez}')
print('Prueba 2 - Outliers dispersos')
np.random.seed(2)
xbuild, ybuild = genDataLine(4, 10, 300, 0, 3)
x, y = genDataLine(4, 10, 1000, 0, 3)
y[500] = 47
y[600] = 15
y[650] = 10
y[720] = 30
plt.scatter(x, y)
plt.show()
print('\u03BB = 20')
alg = ac.DetectChangeAlg(300, 100, xbuild, ybuild, 0.2, 20)
alg.addData(x, y)
alg.plotErrorAcum()
print('Change Points: ' + str(alg.changePoints))
print('\u03BB = 40')
alg = ac.DetectChangeAlg(300, 100, xbuild, ybuild, 0.2, 40)
alg.addData(x, y)
alg.plotErrorAcum()
print('Change Points: ' + str(alg.changePoints))
print('\u03BB = 100')
alg = ac.DetectChangeAlg(300, 100, xbuild, ybuild, 0.2, 100)
alg.addData(x, y)
alg.plotErrorAcum()
print('Change Points: ' + str(alg.changePoints))
xbuild, ybuild = genDataLine(4, 10, 500, 0, 3)
x0, y0 = genDataLine(4, 10, 500, 0, 3)
x1, y1 = genDataPol(aArray, bArray, cArray, dArray, 125, 0, 3)
x = x0 + x1
y = y0 + y1
x2, y2 = genDataPol(aArray2, bArray2, cArray2, dArray2, 375, 0, 3)
dfList = list(zip(x0,y0))
data0 = pd.DataFrame(dfList, columns = ['x' , 'y'])
sns.lmplot(x="x", y="y", data=data0, line_kws = {'color':'cyan'})
plt.scatter(x1,y1)
plt.scatter(x2,y2)
plt.show()
alg = ac.DetectChangeAlg(300, 100, xbuild, ybuild, 0.2, 50)
alg.printModel()
start = time.time()
alg.addData(x, y)
time1 = time.time()-start
alg.printModel()
start = time.time()
alg.addData(x2, y2)
print(f"Add data Time Taken: {(time.time() - start)+time1:.3f} sec")
alg.plotResiduals()
alg.plotErrorAcum()
alg.printModel()
alg.mae()
print('Change Points: ' + str(alg.changePoints))