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