def plotPolinomio(thetaFile): O = regresion.readTheta(thetaFile) tx = np.arange(mpf(0.0),mpf(24.5),mpf(0.1)) ty = tx res = regresion.getCurvaNivel(tx,ty,O) for i in range(0,len(res[0])): plotPoint(res[0][i],res[1][i],'yellow',POINT_POLI_RADIO)
print blue_points
elif(comandos[1] == 'red'):
print red_points
elif(comandos[1] == 'ans'):
print ans
elif(comandos[1] == 'mem'):
print mem
elif(comandos[0] == 'rt'):
file = comandos[1]
n = int(comandos[2])
regresion.generarRandom(n,file)
print "Thetas generadas correctamente"
elif(comandos[0] == 'go'):
file = comandos[1]
n = int(comandos[2])
O = regresion.readTheta(file)
temp = regresion.graficar(O,red_points,blue_points,n)
commands.getoutput('display ' + temp)
elif(comandos[0] == 'run'):
file = comandos[1]
n = int(comandos[2])
regresion.alfa = float(comandos[3])
regresion.half_life = float(comandos[4])
points = regresion.unirPuntos(red_points,blue_points,regresion.getThetaSize(file))
regresion.regresionFile(file,points[0],points[1],n)
print "Iteraciones terminadas con exito"
elif(comandos[0] == 'runr'):
file = comandos[1]
n = int(comandos[2])
iteraciones = int(comandos[3])
regresion.generarRandom(n,file)