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Text classification

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Adaptive Classifier

A flexible, adaptive classification system that allows for dynamic addition of new classes and continuous learning from examples.

Usage

pip install adaptive-classifier from adaptive_classifier import AdaptiveClassifier # Load from Hub classifier = AdaptiveClassifier.from_pretrained("adaptive-classifier/model-name") # Add some examples texts = [ "The product works great!", "Terrible experience", "Neutral about this purchase" ] labels = ["positive", "negative", "neutral"] classifier.add_examples(texts, labels) # Make predictions predictions = classifier.predict("This is amazing!") print(predictions) # [('positive', 0.85), ('neutral', 0.12), ('negative', 0.03)] 

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