rapaio
Rapaio offers a robust Java library designed for statistics, data mining, and machine learning. It features core statistical tools, various algorithms like Naive Bayes and Random Forests, and provides visualization capabilities. The library's documentation, primarily in Jupyter notebooks, facilitates interactive exploration, making it ideal for experimentation and idea documentation.
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Top rapaio Features
- Interactive Jupyter notebooks support
- Comprehensive statistical tools
- Core machine learning algorithms
- Rich data mining capabilities
- Random Forests for classification
- Gradient Boosting Trees implementation
- Support for SVM models
- Naive Bayes classifier
- Binary Logistic Regression
- Decision Trees for regression
- PCA for dimensionality reduction
- KMeans clustering functionality
- Hypothesis testing procedures
- Linear and Ridge Regression
- Relevant Vector Machines
- Graphical data visualization tools
- Java-based library
- Periodic feature updates
- Open-source community support
- Detailed documentation available.
