Based on a YouTube tutorial I implemented this project to get hands-on experience with ML text classification and deployment using Streamlit.: 💡 What I learned from this project: • Feature ...
Instead of doing everything manually, we can use Python’s scikit-learn library, specifically the CountVectorizer class to do all this in just one line of code! 🤗 1️⃣ Installing pip install scipy pip ...
用户 → Streamlit UI │ ├─ Supervisor Agent（路由分发） │ ├─ Explainer Agent（RAG 检索 + LLM 生成） │ ├─ Grader Agent（答案对比评分） │ └─ Memory Agent（进度追踪） │ └─ TF-IDF 检索引擎（离线 ...
X_train_dict = pandas.DataFrame(X_train[:, 1:]).T.to_dict().values() X_test_dict = pandas.DataFrame(X_test[:, 1:]).T.to_dict().values() # We create a pipeline.
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