node-bayes
node-bayes is a Naive Bayes classifier for Node.js. Built-in support for numeric attributes and Laplace smoothing.
Getting Started
npm install node-bayes
var bayes = require('node-bayes');
Example Usage
var TRAINING_COLUMNS = ['weather', 'temperature', 'humidity', 'wind', 'play?'];
var TRAINING_DATA_SIMPLE = [
['Sunny','Hot','High','Weak','No'],
['Sunny','Hot','High','Strong','No'],
['Overcast','Hot','High','Weak','Yes'],
['Rain','Mild','High','Weak','Yes'],
['Rain','Cool','Normal','Weak','Yes'],
['Rain','Cool','Normal','Strong','No'],
['Overcast','Cool','Normal','Strong','Yes'],
['Sunny','Mild','High','Weak','No'],
['Sunny','Cool','Normal','Weak','Yes'],
['Rain','Mild','Normal','Weak','Yes'],
['Sunny','Mild','Normal','Strong','Yes'],
['Overcast','Mild','High','Strong','Yes'],
['Overcast','Hot','Normal','Weak','Yes'],
['Rain','Mild','High','Strong','No']
];
var TRAINING_DATA = [
['Sunny',85,85,'Weak','No'],
['Sunny',80,90,'Strong','No'],
['Overcast',83,86,'Weak','Yes'],
['Rain',70,96,'Weak','Yes'],
['Rain',68,80,'Weak','Yes'],
['Rain',65,70,'Strong','No'],
['Overcast',64,65,'Strong','Yes'],
['Sunny',72,95,'Weak','No'],
['Sunny',69,70,'Weak','Yes'],
['Rain',75,80,'Weak','Yes'],
['Sunny',75,70,'Strong','Yes'],
['Overcast',72,90,'Strong','Yes'],
['Overcast',81,75,'Weak','Yes']
];
// Non-numeric attributes
var cls = new bayes.NaiveBayes({
columns: TRAINING_COLUMNS,
data: TRAINING_DATA_SIMPLE,
verbose: true
});
cls.train();
var answer = cls.predict(['Sunny', 'Cool', 'High', 'Strong']);
console.log(answer);
// Numeric attributes
var cls = new bayes.NaiveBayes({
columns: TRAINING_COLUMNS,
data: TRAINING_DATA,
verbose: true
});
cls.train();
var answer = cls.predict(['Sunny', 66, 90, 'Strong']);
console.log(answer);
Options
| Option | Type | Description |
|---|---|---|
| data* | type[] | Your dataset, an array of arrays. Every sample must have consistent size and type signature. |
| columns* | string[] | Column names of your dataset. Must be unique. |
| labelIndex | integer | Index of your class label. Defaults to rightmost column. |
| verbose | boolean | If set to true, returns full probability breakdown for each class value. Defaults to false. |
| eagerTraining | boolean | If set to true, runs train() on predict() if there are dirty samples. |
| columnTypes | string[] | ColumnTypes of your dataset. Used for validation of samples in your dataset. If not supplied, the column types of the first sample is inspected automatically. |
| stripWhitespace | boolean | If set to true, whitespace in column names are stripped. Defaults to true. |
Running Tests
npm test
Thanks
node-bayes © 2016+, Yos Riady. Released under the MIT License.
Authored and maintained by Yos Riady with help from contributors (list).