cardmagic/ai-marketplace/classifier

# Classify with a pre-trained model
classifier -r <model-name> "text to classify"
 
# Example: detect spam
classifier -r sms-spam-filter "You won a free iPhone! Click here now!"
 
# Example: sentiment analysis
classifier -r imdb-sentiment "This movie was absolutely terrible"
 
# Example: emotion detection
classifier -r emotion-detection "I am so happy today"

# Train from text
classifier train positive "Great product, love it"
classifier train negative "Terrible quality, waste of money"
 
# Train from files
classifier train positive reviews/good/*.txt
classifier train negative reviews/bad/*.txt
 
# Classify after training
classifier "This product exceeded my expectations"

# List all available models
classifier models
 
# Show model details
classifier info <model-name>
 
# Save trained model
classifier save my-model.json
 
# Load saved model
classifier load my-model.json