Naive Bayesian Classification for Golang
Naive Bayesian Classification for Golang enables users to classify strings into multiple categories with ease. Featuring support for term frequency-inverse document frequency (TF-IDF) calculations, this library facilitates accurate classifications while addressing potential float underflow issues. Users can train their classifiers and obtain likelihood scores or probabilities effectively.
Top Naive Bayesian Classification for Golang Alternatives
Swift Brain
This innovative library is the first of its kind in Swift, designed for iOS and OS X development.
htm.java
htm.java is a community-driven Java implementation of the Hierarchical Temporal Memory, derived from the Numenta Platform for Intelligent Computing (NuPIC).
MLKit
MLKit is a user-friendly machine learning framework crafted in Swift, designed to empower developers in implementing algorithms with ease.
Swift AI
A high-performance deep learning library entirely crafted in Swift, Swift AI supports all Apple platforms with Linux compatibility on the horizon.
MAChineLearning
MAChineLearning offers a streamlined framework for experimenting with machine learning on macOS, focusing on neural networks and natural language processing.
Saul
Saul is a domain-specific language in Scala designed for declarative learning-based programming.
Annoy
Its unique feature allows users to create memory-mapped, read-only indexes for easy data sharing across...
MachineLearning.jl
Initially aimed at practitioners handling in-memory datasets on single machines, it aspires to accommodate larger...
clj-ml
Users must first install Leiningen and the Weka 3.6.2 JAR file to ensure proper functionality...
Vowpal Wabbit
It features various optimization algorithms, including sparse gradient descent, and offers command line tools along...
Pylearn2
It features user-friendly documentation and offers a collection of example scripts and Jupyter notebooks to...
pyhsmm
It emphasizes Bayesian Nonparametric extensions, particularly the HDP-HMM and HDP-HSMM, utilizing weak-limit approximations...
Top Naive Bayesian Classification for Golang Features
- Easy integration with Go
- Supports multiple classification classes
- Handles string data efficiently
- TF-IDF calculation support
- Low entry barrier library
- Comprehensive documentation available
- Robust against underflow issues
- Probability score outputs
- Class score magnitude indication
- Flexible training process
- Quick classification results
- User feedback-driven improvements
- BSD-style licensing
- Well-commented codebase
- Suitable for beginners
- High performance for text data
- Customizable class definitions
- Efficient memory usage
- Community support and updates.
