Ganitha
Ganitha is an innovative open-source machine learning library designed for Scalding, specializing in statistical analysis and vector operations. It integrates Mahout vectors for seamless usability, offering implementations of Naive-Bayes classifiers and K-Means clustering. Users can efficiently handle data with advanced features, enhancing their machine learning workflows.
Top Ganitha Alternatives
StackScan
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JRuby Mahout
JRuby Mahout integrates the power of Apache Mahout into JRuby, facilitating machine learning for recommendations, clustering, and classification. This gem simplifies the process for Ruby developers, eliminating the need for complex Java interface implementations. With support for Mahout 0.7 and a Postgres manager, it streamlines database integration for scalable recommendations.
shaman
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MLBase.jl
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yahmm
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Amazon CodeGuru
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MILK
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FlinkML
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Genetic Algorithms for Go/Golang
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Company Information
- Company: Ganitha
- Country: United States
Top Ganitha Features
- Open-source machine learning library
- Scalding integration
- Mahout vector compatibility
- User-friendly vector operations
- Naive-Bayes classifier support
- Gaussian Naive-Bayes implementation
- Multinomial Naive-Bayes implementation
- Bernoulli Naive-Bayes implementation
- K-Means clustering algorithm
- K-Means++ optimization
- K-Means|| initialization technique
- Extensible vector operation interface
- Vector serialization transparency
- Unit testing framework included
- Supports categorical and textual features
- Streamlined data processing workflow
- Easy deployment with sbt.
