machinelearning

commit cfc8c125e9850e1f70183273adb744aae1344f01
Author: Andrew <andrewlaack1@gmail.com>
Date:   Thu, 18 Apr 2024 17:46:44 -0500

Added code for gradient descent from notes

Diffstat:
A
GradientDescentThirdDegreePolynomial.py
 | 
47
+++++++++++++++++++++++++++++++++++++++++++++++

1 file changed, 47 insertions(+), 0 deletions(-)
diff --git a/GradientDescentThirdDegreePolynomial.py b/GradientDescentThirdDegreePolynomial.py
@@ -0,0 +1,47 @@
+import random
+print("ax^3 + bx^2 + cx + d")
+
+a = float(input("Enter a: "))
+b = float(input("Enter b: "))
+c = float(input("Enter c: "))
+d = float(input("Enter d: "))
+
+
+def calculateValue(x):
+    return x**3 * a + x**2 * b + x * c + d
+
+
+def printResult(x, y):
+    print("x: " + str(x) + " y: " + str(y))
+
+
+# Find the x at the bottom
+def descend(x, depth):
+
+    if depth > 100:
+        return x
+
+    midX = x
+    rightX = x + .00000001
+    leftX = x - .00000001
+
+    midY = calculateValue(midX)
+    rightY = calculateValue(rightX)
+    leftY = calculateValue(leftX)
+
+    printResult(leftX, leftY)
+    printResult(midX, midY)
+    printResult(rightX, rightY)
+
+    depth += 1
+    if rightY > leftY:
+        return descend(x - (1 / depth), depth)
+    else:
+        return descend(x + (1/depth), depth)
+
+
+currSearch = random.random() * 10
+xVal = descend(currSearch, 0)
+
+printResult(xVal, calculateValue(xVal))
+