ashokkumarsundar

## fourex.py
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

## understanding-word-vectors.ipynb

      
        
          
            
              
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                ashokkumarsundar
                / understanding-word-vectors.ipynb
            
            
              Created
              January 21, 2019 13:37
                — forked from aparrish/understanding-word-vectors.ipynb
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
        
      
        
  
    
    

          
    
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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