metadata
license: apache-2.0
tags:
- text-classification
- scikit-learn
- tfidf
- logistic-regression
library_name: sklearn
QA Text Classifier
A small question-answering text classifier: TF-IDF features + Logistic Regression, trained on 10 question/answer pairs (AI, ML, deep learning, Python, CPU, GPU, NLP, data science, optimizer, gradient descent).
Intended for demos and teaching of classic ML pipelines.
Usage
import pickle
with open("qa_model.pkl", "rb") as f:
bundle = pickle.load(f)
q = "What is AI?"
print(bundle["classifier"].predict(bundle["vectorizer"].transform([q]))[0])
License
apache-2.0