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)]