python写一个马尔可夫模型

好的，以下是一个简单的Python马尔可夫模型的代码：

import random

# 构建马尔可夫模型
def build_model(words):
    model = {}
    for i in range(len(words) - 1):
        if words[i] not in model:
            model[words[i]] = {}
        if words[i+1] not in model[words[i]]:
            model[words[i]][words[i+1]] = 1
        else:
            model[words[i]][words[i+1]] += 1
    return model

# 根据马尔可夫模型生成文本
def generate_text(model, length=20):
    start = random.choice(list(model.keys()))
    text = [start]
    while len(text) < length:
        current = text[-1]
        if current not in model:
            break
        next_word = max(model[current], key=model[current].get)
        text.append(next_word)
    return ' '.join(text)

# 示例
text = "I have a pen. I have an apple. Uh! Apple-pen. I have a pen. I have pineapple. Uh! Pineapple-pen."
words = text.split()
model = build_model(words)
generated_text = generate_text(model, length=10)
print(generated_text)

这个代码会根据给定的文本，构建一个马尔可夫模型，并利用该模型生成一段新的文本。生成的文本长度可以通过 `length` 参数指定。