CardMagic-Classifier

Offers five distinct classifiers including Bayesian, LSI, logistic regression, k-NN, and TF-IDF, providing flexibility for varied text classification tasks like spam detection and sentiment analysis, as highlighted in the README's comparison table.

Includes native C extensions for LSI operations, delivering 5-50x speed improvements, and incremental LSI using Brand's algorithm for 400x faster streaming updates, making it efficient for large datasets.

Supports pluggable storage backends like file, Redis, S3, and SQL, allowing easy model deployment and management in production environments, as demonstrated in the persistence guide.

Enables training on multi-gigabyte datasets without loading all data into memory, and provides a command-line interface with pre-trained models for instant classification without coding, shown in the CLI examples.