kapiya / scala-machine-learning

A light weight Scala machine learning library (no dependencies)

Scala Machine Learning

Branch	Status	CodeCov
master
develop

Light Weight Scala Machine Learning Library

A very light weight Scala machine learning library that provide some basic ML algorithms in Scala. The repo is served as a algorithm gallery. Please enjoy and dive into the algorithm that you will like to learn in its basic level.

Dev-Environment

• Scala 2.12

• Sbt 1.2

This package includes

Classification :

• Naive Bayesian Decision

• K-Nearest Neighborhood (KNN)

• Gaussian Process Classification

• Linear Regression

• Linear Support Vector Machine (linear-SVM)

• Perceptron

• Decision Tree

• Random Forest

Boost :

• Naive Boost

• Weighted Boost

Clustering :

• Hierarchical

• DBSCAN

• HDBSCAN

• BIRCH

• K-Means

• EM Cluster

• Density Peak Cluster

Neural Net & Deep Learning :

• Neural Network (NN)

• Restricted Boltzmann Machine (RBM)

• Deep Belief Network (DBN)

• Long Short-Term Memory (LSTM)

• Neural Turing Machine - Memory Searching Cognition (Code in a Different Repo)

Optimization :

• Gene Algorithm (GA)

• Minimax

• Monte Carlo Tree Search

Reinforcement Learning :

• Naive Feedback

• Q-Learning

• Q-Neural Learning

• Deep Q-Network (DQN)

• Double DQN (D-DQN)

• Asynchronous Advantage Actor-Critic (A3C)

Feature Analysis :

• Student-T Test

• ANOVA

• Linear Discriminant Analysis

• Quadratic Discriminant Analysis

TODO

• Alpha-go Zero (MCTS-NN) - Deep Reinforcement Learning

Installation Process

1. Install sbt

2. Clone this project

git clone https://github.com/Wei-1/Scala-Machine-Learning.git

Test

sbt test

Build Jar

sbt assembly