Created
July 3, 2020 04:34
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| #predicting the streaming kafka messages | |
| consumer = KafkaConsumer('twitter-stream',bootstrap_servers=\['localhost:9092']) | |
| print("Starting ML predictions.") | |
| for message in consumer: | |
| X_new_counts = count_vect.transform([message.value]) | |
| X_new_tfidf = tfidf_transformer.transform(X_new_counts) | |
| predicted = load_model.predict(X_new_tfidf) | |
| print(message.value+" => "+fetch_train_dataset(categories).target_names[predicted[0]]) |
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