CardMagic-Classifier

CardMagic-Classifier provides a general module for Bayesian and latent semantic indexing classification.

github.com/cardmagic/classifier
CardMagic-Classifier homepage screenshot

About CardMagic-Classifier

CardMagic-Classifier is a text classification module with Bayes, logistic regression, LSI, and k-nearest neighbors classifiers, plus TF-IDF term weighting. Its docs recommend starting with Bayes for most text classification tasks and include command-line tools for training, classifying, and managing models.

Pricing is not clearly stated.

Key features

  • Bayes classification trains in one pass and needs no fit step
  • Logistic regression provides calibrated probabilities and adds a fit step after training
  • LSI covers semantic similarity, search, related documents, and summaries
  • k-nearest neighbors shows the nearest examples and their votes
  • TF-IDF provides term weights, n-grams, and document frequency filters
  • Persistence supports save/load, storage backends, and custom backends
  • Streaming training handles data larger than memory

CardMagic-Classifier at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Details verified
Oct 22, 2026 · Official source
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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