3c

assignments/hwk01/hw1solve.py

@@ -1,14 +1,55 @@
-from sympy.abc import i, k, m, n, x
-import sympy
+from itertools import product
 
 
-def prob_2a():
-    # f = sympy.Function('f')
-    def f(x, theta): return (1.0 / theta) * sympy.exp(- x / theta)
+def calc_posterior(p_c1: float, D: int, p_ij: dict[tuple[int, int], float]):
+    priors = {
+        1: p_c1,
+        2: 1 - p_c1,
+    }
 
-    log = sympy.Sum(f, (k, 1, n))
+    def p_x_given_Ci(xs: list[int], i: int):
+        s = 0
+        for j in range(len(xs)):
+            s += pow(p_ij[i, j], 1.0 - xs[j]) * pow(1.0 - p_ij[i, j], xs[j])
+        return s
 
-    print(log)
+    # print("===")
+    # for i in priors.keys():
+    #     for xs in product([0, 1], repeat=2):
+    #         xs = list(xs)
+    #         print("xs", xs)
+    #         print(i, xs, p_x_given_Ci(xs, i))
+    # print("===")
+
+    posteriors = {}
+    for i in [1, 2]:
+        for xs in product([0, 1], repeat=D):
+            numer = p_x_given_Ci(xs, i) * priors[i]
+
+            def each_denom(k): return p_x_given_Ci(xs, k) * priors[k]
+            denom = sum(map(each_denom, priors.keys()))
+            posteriors[*xs, i] = numer / denom
+
+    print("Priors:", priors)
+    for xs in product([0, 1], repeat=D):
+        print(f"{xs = }")
+        for i in [1, 2]:
+            prob = posteriors[*xs, i]
+            print(f" * C{i}: {prob:0.3f}")
+        print()
 
 
-prob_2a()
+def prob_3c():
+    D = 2
+    p_ij = {}
+    p_ij[1, 0] = 0.6
+    p_ij[1, 1] = 0.1
+    p_ij[2, 0] = 0.6
+    p_ij[2, 1] = 0.9
+
+    calc_posterior(0.2, D, p_ij)
+    calc_posterior(0.8, D, p_ij)
+
+
+# prob_2a()
+prob_3c()