shaman

shaman

shaman From United States 1 vote

Shaman offers a robust machine learning library for Node.js, facilitating both simple and multiple linear regression. Users can choose between the Normal Equation and Gra... Shaman offers a robust machine learning library for Node.js, facilitating both simple and multiple linear regression. Users can choose between the Normal Equation and Gradient Descent for model training, with customizable options for iterations and learning rates. It also includes k-means clustering, enhancing data analysis capabilities through practical examples.

Top shaman Alternatives

1 yahmm

yahmm

This machine learning software implements Hidden Markov Models (HMMs) through a flexible, graph-based interface, allowing users to construct models incrementally....

yahmm From United States
1 vote
2 Comportex

Comportex

Comportex offers an innovative implementation of Hierarchical Temporal Memory in Clojure, allowing users to control simulations and customize their output....

Comportex From United States
1 vote
3 rapaio

rapaio

Rapaio offers a robust Java library designed for statistics, data mining, and machine learning. It features core statistical tools, various...

rapaio From United States
1 vote
4 Ganitha

Ganitha

Ganitha is an innovative open-source machine learning library designed for Scalding, specializing in statistical analysis and vector operations. It integrates...

Ganitha From United States
1 vote
5 YCML

YCML

This machine learning and optimization framework provides an advanced solution for Objective-C and Swift developers on MacOS and iOS. It...

YCML From United States
1 vote
6 JRuby Mahout

JRuby Mahout

JRuby Mahout integrates the power of Apache Mahout into JRuby, facilitating machine learning for recommendations, clustering, and classification. This gem...

JRuby Mahout From United States
1 vote
7 MILK

MILK

MILK is a versatile Python-based machine learning toolkit designed for supervised classification, featuring various classifiers such as SVMs, k-NN, and...

MILK From United States
1 vote
8 MLBase.jl

MLBase.jl

MLBase.jl offers a versatile collection of functions designed to enhance the development of machine learning algorithms. Rather than implementing specific...

MLBase.jl From United States
1 vote
9 Genetic Algorithms for Go/Golang

Genetic Algorithms for Go/Golang

This Genetic Algorithms library for Go/Golang provides a robust framework for implementing machine learning solutions. By leveraging user feedback, it...

Genetic Algorithms for Go/Golang From United States
1 vote
10 Classifier

Classifier

The Classifier module enables efficient Bayesian and Latent Semantic Indexing (LSI) classifications for robust data analysis. By integrating fast-stemmer and...

Classifier From United States
1 vote
11 Naive Bayesian Classifer in APL

Naive Bayesian Classifer in APL

The Naive Bayesian Classifier in APL offers an engaging exploration of probabilistic assumptions based on test inputs. Designed for two...

Naive Bayesian Classifier in APL From United States
1 vote
12 Simple Bayes

Simple Bayes

This Naive Bayes implementation in Elixir offers a robust tool for probabilistic classification, ideal for tasks such as text categorization...

Simple Bayes From United States
1 vote
13 MGL-GPR

MGL-GPR

MGL-GPR is an innovative machine learning software that leverages evolutionary algorithms, including Genetic Programming and Differential Evolution. It enables users...

MGL From United States
1 vote
14 Amazon CodeGuru

Amazon CodeGuru

Amazon CodeGuru is an advanced machine learning tool that enhances software development by automating code reviews and identifying vulnerabilities. With...

Amazon From United States
1 vote
15 DecisionTree.jl

DecisionTree.jl

DecisionTree.jl offers a robust Julia implementation of Decision Tree (CART) and Random Forest algorithms, supporting various models like DecisionTreeClassifier and...

DecisionTree.jl From United States
1 vote

Company Information

  • Company: shaman
  • Country: United States

Top shaman Features

  • Customizable learning rate
  • Debugging output for troubleshooting
  • Cost function visualization
  • Alternative training algorithms
  • Simple and multiple regression support
  • K-means clustering implementation
  • Node.js compatibility
  • Iterative training options
  • Regression model evaluation
  • Cost function tracking
  • User feedback integration
  • Real-world example code
  • Easy-to-use API
  • Lightweight library design
  • Open-source under MIT
  • Extensive documentation available
  • Support for various datasets
  • Interactive data analysis
  • Performance optimization features
  • Feedback-driven development process

We use cookies to improve your experience on eBool.