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pip install adaptive-classifier.gdpr: 5 examples (20.0%)
hipaa: 5 examples (20.0%)
other: 5 examples (20.0%)
pci: 5 examples (20.0%)
sox: 5 examples (20.0%)1from adaptive_classifier import AdaptiveClassifier
2
3# Load the model
4classifier = AdaptiveClassifier.from_pretrained("adaptive-classifier/model-name")
5
6# Make predictions
7text = "Your text here"
8predictions = classifier.predict(text)
9print(predictions) # List of (label, confidence) tuples
10
11# Add new examples
12texts = ["Example 1", "Example 2"]
13labels = ["class1", "class2"]
14classifier.add_examples(texts, labels)1@software{adaptive_classifier,
2 title = {Adaptive Classifier: Dynamic Text Classification with Continuous Learning},
3 author = {Sharma, Asankhaya},
4 year = {2025},
5 publisher = {GitHub},
6 url = {https://github.com/codelion/adaptive-classifier}
7}