Limdu and Synaptic, Alpha.

README.md

@@ -38,6 +38,44 @@ You can run the demos from this project: [limdu-demo](https://github.com/erelsgl
 
 ## Binary Classification
 
+### Synaptic - architecture-free neural network library for node.js and the browser:
+
+```js
+var limdu = require('limdu');
+
+var Options = [{ Inputs: 2, Hidden: 2, Outputs: 1 }]
+//All options in https://github.com/cazala/synaptic/wiki/Trainer#options
+
+var Classifier = new limdu.classifiers.Synaptic(Options);
+
+var TrainingSet =
+[
+      { input: [0,0], output: [0] },
+      { input: [0,1], output: [1] },
+      { input: [1,0], output: [1] },
+      { input: [1,1], output: [0] }
+]
+
+Classifier.trainBatch(TrainingSet);
+
+console.log(Classifier.classify([1,0]));
+
+/* Response
+iterations 1000 error 0.7186739001361462 rate 0.1
+iterations 2000 error 0.6491794090041461 rate 0.1
+iterations 3000 error 0.5252686333641889 rate 0.1
+iterations 4000 error 0.5120039035297583 rate 0.1
+iterations 5000 error 0.5074936397380782 rate 0.1
+iterations 6000 error 0.5006203011889089 rate 0.1
+iterations 7000 error 0.028994141931717198 rate 0.1
+iterations 8000 error 0.012387254089101019 rate 0.1
+iterations 9000 error 0.00799815060929144 rate 0.1
+iterations 10000 error 0.005932337534569962 rate 0.1
+[ 0.9954244092543398 ]
+```
+
+Note: this example uses [Synaptic, by Juan Cazala](https://github.com/cazala/synaptic).
+
 ### Batch Learning - learn from an array of input-output pairs:
 
 ```js

classifiers/index.js

@@ -1,15 +1,16 @@
 module.exports = {
 	// basic classifiers:
 	//NeuralNetwork: require('./brain/lib/neuralnetwork').NeuralNetwork,
+	Synaptic: require('./synaptic/synaptic'),
 	NeuralNetwork: require('./neural/NeuralNetwork'),
 	Bayesian: require('./bayesian/bayesian'),
 
 	kNN: require('./kNN/kNN'),
-	
+
 	SvmJs: require('./svm/SvmJs'),
 	SvmPerf: require('./svm/SvmPerf'),
 	SvmLinear: require('./svm/SvmLinear'),
-	
+
 	//BayesClassifier: require('./apparatus/lib/apparatus/classifier/bayes_classifier'),
 	//LogisticRegressionClassifier: require('./apparatus/lib/apparatus/classifier/logistic_regression_classifier'),
 	Perceptron: require('./perceptron/PerceptronHash'),
@@ -18,7 +19,7 @@ module.exports = {
 	DecisionTree: require('./decisiontree/DecisionTree'),
 
 	multilabel: require('./multilabel'),
-	
+
 	// meta classifier:
 	EnhancedClassifier: require('./EnhancedClassifier'),
 }

classifiers/synaptic/synaptic.js

@@ -0,0 +1,54 @@
+/**
+ * A wrapper for Synaptic: https://github.com/cazala/synaptic
+ *
+ * Author: Inder
+ */
+
+var Synaptic = require('synaptic');
+var Neuron = Synaptic.Neuron;
+var Layer = Synaptic.Layer;
+var Network = Synaptic.Network;
+var Trainer = Synaptic.Trainer;
+var Architect = Synaptic.Architect;
+
+var Wrapper = function(Options)
+{
+   Options = Options || {};
+
+   this.Inputs = Options.Inputs || 2;
+   this.Hidden = Options.Hidden || 2;
+   this.Output = Options.Output || 1;
+
+   this.Rate = Options.Rate || .1;
+   this.Iterations = Options.Iterations || 20000;
+   this.Error = Options.Error || .005;
+   this.Shuffle = Options.Shuffle || true;
+   this.Log = Options.Log || 1000;
+   this.Cost = Options.Cost || Trainer.cost.CROSS_ENTROPY;
+ }
+
+Wrapper.prototype.trainOnline = function () { throw new Error("Synaptic does not support online training YET"); };
+
+Wrapper.prototype.trainBatch  = function(DataSet)
+{
+      this.DataSet = DataSet
+      this.Network = new Architect.Perceptron(this.Inputs, this.Hidden, this.Output)
+      this.Learn = new Trainer(this.Network)
+
+	this.Learn.train(this.DataSet,
+      {
+            rate: this.Rate,
+            iterations: this.Iterations,
+            error: this.Error,
+            shuffle: this.Shuffle,
+            log: this.Log,
+            cost: this.Cost
+      });
+};
+
+Wrapper.prototype.classify  = function(DataSet)
+{
+      return this.Network.activate(DataSet);
+};
+
+module.exports = Wrapper;

package.json

@@ -1,7 +1,7 @@
 {
   "name": "limdu",
   "description": "A machine learning framework for Node.js. Supports multi-level classification and online learning.",
-  "version": "0.8.0",
+  "version": "0.9.0",
   "author": "Erel Segal-haLevi <erelsgl@gmail.com>",
   "repository": {
     "type": "git",
@@ -11,6 +11,7 @@
 	  "node" : ">=0.12"
   },
   "dependencies": {
+    "synaptic": "latest",
     "brain": "*",
     "graph-paths": "latest",
     "languagemodel": "latest",