Anomaly Detector #
Data anomaly detector for NodeJS
Instalation ##
Copy directory to your project folder under nodemodulesExamples ##
Training classifier
```js var detector = require('anomaly-detector'); var randomvariables = {'a' : [ 18, 15, 16, 17, 14, 15, 16 ],
'b' : [ 110, 130, 125, 124, 128, 118, 119 ],
'c' : [ 110, 115, 113, 114, 90, 116, 90 ]
};
// by default, detector is storing training data in mongo database
detector.init(detector.defaultoptions, function(){
detector.train(random_variables, function(distributions){
console.log('training finished!');
console.log(distributions);
detector.close();
});
});
```
Testing classifier
```js var detector = require('anomaly-detector'); var randomvariableid = 1; var testingvalues = 50, 70, 90, 110, 130, 150, 170; // by default, detector is storing training data in mongo database detector.init(detector.defaultoptions, function(){
var counter = 0;
for (var i = 0; i < testing_values.length; i++) {
var value = testing_values[i];
// test whether values is ok or an outlier
detector.test(random_variable_id, value, function(id, v, result) {
console.log(v, result);
// if all tests are done, close dataSource connection
if (counter++ === (testing_values.length - 1)) {
detector.close();
}
});
}
});
```
Using memory data source
```js var detector = require('anomaly-detector'); var options = {data_source : {
name : 'memory'
}
};
detector.init(detector.defaultoptions, function(){
...
});
```
Next releases ##
- File data source
- Error handling
- Different detection methods