In [1]:

    

import tensorflow as tf
import matplotlib.pyplot as plt
 
x = [5,6,7,8] # variable x
y = [1,3,4,7] #variable y
xmean=tf.reduce_mean(x)
#tf.to_float(xmean, name='ToFloat')

ymean=tf.reduce_mean(y)
#tf.to_float(ymean, name='ToFloat')

covar=0
var=0
for i in range(0,len(x)):
    covar=covar+(x[i]-xmean)*(y[i]-ymean)
    var=var+tf.square(x[i]-xmean)

teta1=tf.div(covar,var)
#tf.to_float(teta1, name='ToFloat')
#teta1=tf.div(teta1temp,len(x))
teta0=ymean-(xmean*teta1)
#tf.to_float(teta0, name='ToFloat')
ynew=teta0+teta1*5
#tf.to_float(ynew, name='ToFloat')
print (x)
print (y)
with tf.Session() as sess:
    print(sess.run(teta1))
    print(sess.run(teta0))
    print(sess.run(ynew))
    writer = tf.summary.FileWriter("/tmp/tboard/output1_Neha", sess.graph)
    writer.close()
plt.plot(x,y) 
plt.show()


    

    




[5, 6, 7, 8]
[1, 3, 4, 7]
1
-3
2






    

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