Candidate elimination

 def candidate_elimination(data):

    G = [["?"] * (len(data[0]) - 1)] # General hypothesis

    S = ["0"] * (len(data[0]) - 1) # Specific hypothesis

    for instance in data:

        x, y = instance[:-1], instance[-1]

        if y == "Yes": # Positive example

            G = [g for g in G if all(g[i] == "?" or g[i] == x[i] for i in range(len(x)))]

            S = [x[i] if s == "0" else s if s == x[i] else "?" for i, s in enumerate(S)]

        else: # Negative example

            G = [g for g in G for i in range(len(x)) if g[i] == "?" or g[i] != x[i]]

    return S, G


# Dataset: [Attributes..., Class]

data = [["Sunny", "Warm", "Normal", "Strong", "Warm", "Same", "Yes"],

        ["Sunny", "Warm", "High", "Strong", "Warm", "Same", "Yes"],

        ["Rainy", "Cold", "High", "Strong", "Warm", "Change", "No"],

        ["Sunny", "Warm", "High", "Strong", "Cool", "Change", "Yes"]]


S, G = candidate_elimination(data)

print("Specific Hypothesis:", S)

print("General Hypotheses:", G)

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