machinelearning

Machine learning code
git clone git://git.laack.co/machinelearning.git
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GradientDescentThirdDegreePolynomialV1-checkpoint.py (901B)

      1 import random
      2 print("ax^3 + bx^2 + cx + d")
      3 
      4 a = float(input("Enter a: "))
      5 b = float(input("Enter b: "))
      6 c = float(input("Enter c: "))
      7 d = float(input("Enter d: "))
      8 
      9 
     10 def calculateValue(x):
     11     return x**3 * a + x**2 * b + x * c + d
     12 
     13 
     14 def printResult(x, y):
     15     print("x: " + str(x) + " y: " + str(y))
     16 
     17 
     18 # Find the x at the bottom
     19 def descend(x, depth):
     20 
     21     if depth > 100:
     22         return x
     23 
     24     midX = x
     25     rightX = x + .00000001
     26     leftX = x - .00000001
     27 
     28     midY = calculateValue(midX)
     29     rightY = calculateValue(rightX)
     30     leftY = calculateValue(leftX)
     31 
     32     printResult(leftX, leftY)
     33     printResult(midX, midY)
     34     printResult(rightX, rightY)
     35 
     36     depth += 1
     37     if rightY > leftY:
     38         return descend(x - (1 / depth), depth)
     39     else:
     40         return descend(x + (1/depth), depth)
     41 
     42 
     43 currSearch = random.random() * 10
     44 xVal = descend(currSearch, 0)
     45 
     46 printResult(xVal, calculateValue(xVal))