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#!/usr/bin/env python | |
""" | |
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction. | |
""" | |
from __future__ import print_function, division | |
import numpy as np | |
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten | |
from keras.models import Sequential |
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import numpy as np | |
import pylab as pl | |
from numpy import fft | |
def fourierExtrapolation(x, n_predict): | |
n = x.size | |
n_harm = 10 # number of harmonics in model | |
t = np.arange(0, n) | |
p = np.polyfit(t, x, 1) # find linear trend in x | |
x_notrend = x - p[0] * t # detrended x |