vilhelmp

"""Simple example on how to log scalars and images to tensorboard without tensor ops.

License: BSD License 2.0
"""
__author__ = "Michael Gygli"

import tensorflow as tf
from StringIO import StringIO
import matplotlib.pyplot as plt
import numpy as np

vilhelmp

"""
The worst possible way to propagate uncertainties.
"""

import numpy as np
from scipy.stats import scoreatpercentile as sap

n = 1024
uplaces = 1 # the argument is that you generally only know your uncerts to 1 place
udtype = np.double

vilhelmp

import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))