Q2 Machine Learning

This module is used for numerous unsupervised and supervised learning algorithms. Below is a list of included and working algorithms

• K-Means Clustering
• Decision Tree Classifier
• Random Forest Classifier
• Naive Bayes Classifier
• Linear Regression
• Neural Network
• Principle Component Analysis
• Data Manipulator (for data transformations, encoding, normalization, etc.)

To Be Implemented:

• Apriori Rules Engine
• Support Vector Machine

How to Install

npm install q2-machine-learning

How to Call

import {<class>} from 'q2-machine-learning' Possible options:

• DataManipulator
• ClusterClassifier
• DecisionTreeClassifier
• RandomForestClassifier
• LinearRegression
• NaiveBayesClassifier
• NeuralNetwork
• PCASelector
• AprioriAssociationGenerator
• SupportVectorMachine

For NeuralNetwork you can also import 2 supporting functions to inform model selection

• runTrainAndValidation
• runTest

You can find examples of how each Class can function work in examples/

Run tests

npm test

Examples are found in tests/