如何使用scikit learn获取特定文档的主题概率？

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import LatentDirichletAllocation

documents = [
    "This is the first document.",
    "This document is the second document.",
    "And this is the third one.",
    "Is this the first document?"
]

vectorizer = TfidfVectorizer()
X = vectorizer.fit_transform(documents)

num_topics = 3
lda = LatentDirichletAllocation(n_components=num_topics)
lda.fit(X)

document_index = 0
document_topic_prob = lda.transform(X[document_index])

print("Document Topic Probability:")
for topic, prob in enumerate(document_topic_prob[0]):
    print("Topic {}: {:.2f}%".format(topic, prob * 100))