How to use the qminer.analytics.RidgeReg function in qminer

it("should make test number 23", function () {

	  // import modules
	  var analytics = require('qminer').analytics;
	  var la = require('qminer').la;
	  var fs = require('qminer').fs;
	  // create a new Ridge Regression object
	  var regmod = new analytics.RidgeReg();
	  // create the test matrix and vector
	  var X = new la.Matrix([[1, 2], [1, -1]]);
	  var y = new la.Vector([3, 3]);
	  // fit the model with X and y
	  regmod.fit(X, y);
	  // create an output stream object and save the model
	  var fout = fs.openWrite('regmod_example.bin');
	  regmod.save(fout);
	  fout.close();
	  // create a new Ridge Regression model by loading the model
	  var fin = fs.openRead('regmod_example.bin');
	  var regmod2 = new analytics.RidgeReg(fin);
     
});
});

it("should make test number 17", function () {

  // import modules
  la = require('qminer').la;
  analytics = require('qminer').analytics;
  // create a new model with gamma = 1.0
  var regmod = new analytics.RidgeReg({ gamma: 1.0 });
  // generate a random feature matrix
  var A = la.randn(10,100);
  // generate a random model
  var w = la.randn(10);
  // generate noise
  var n = la.randn(100).multiply(0.01);
  // generate responses (model'*data + noise)
  var b = A.transpose().multiply(w).plus(n);
  // fit model
  regmod.fit(A, b);
  // compare
  // true model
  w.print();
  // trained model');
  regmod.weights.print();
  // cosine between the true and the estimated model should be close to 1 if the fit succeeded

it("should make test number 21", function () {

	  // import modules
	  var analytics = require('qminer').analytics;
	  var la = require('qminer').la;
	  // create a new Ridge Regression object
	  var regmod = new analytics.RidgeReg();
	  // create the test matrix and vector
	  var X = new la.Matrix([[1, 2], [1, -1]]);
	  var y = new la.Vector([3, 3]);
	  // fit the model with X and y
	  regmod.fit(X, y);
	  // create a new vector for the prediction
	  var vec = new la.Vector([3, 4]);
	  // create the prediction
	  // returns the value 10
	  var prediction = regmod.decisionFunction(vec);
     
});
});

var la = require('qminer').la;
	  var fs = require('qminer').fs;
	  // create a new Ridge Regression object
	  var regmod = new analytics.RidgeReg();
	  // create the test matrix and vector
	  var X = new la.Matrix([[1, 2], [1, -1]]);
	  var y = new la.Vector([3, 3]);
	  // fit the model with X and y
	  regmod.fit(X, y);
	  // create an output stream object and save the model
	  var fout = fs.openWrite('regmod_example.bin');
	  regmod.save(fout);
	  fout.close();
	  // create a new Ridge Regression model by loading the model
	  var fin = fs.openRead('regmod_example.bin');
	  var regmod2 = new analytics.RidgeReg(fin);
     
});
});

it("should make test number 79", function () {

     // import analytics module
     var analytics = require('qminer').analytics;
     // create the Ridge Regression model
     var regmod = new analytics.RidgeReg();
     // get the model
     var model = regmod.getModel(); // returns { weights: new require('qminer').la.Vector(); }
    
});
});

it("should make test number 18", function () {

	 // import analytics module
	 var analytics = require('qminer').analytics;
	 // create a new Ridge Regression object
	 var regmod = new analytics.RidgeReg({ gamma: 5 });
	 // get the parameters
	 // returns a json object { gamma: 5 }
	 var param = regmod.getParams();
	
});
});

it("should make test number 22", function () {

	  // import modules
	  var analytics = require('qminer').analytics;
	  var la = require('qminer').la;
	  // create a new Ridge Regression object
	  var regmod = new analytics.RidgeReg();
	  // create the test matrix and vector
	  var X = new la.Matrix([[1, 2], [1, -1]]);
	  var y = new la.Vector([3, 3]);
	  // fit the model with X and y
	  regmod.fit(X, y);
	  // create a new vector for the prediction
	  var vec = new la.Vector([3, 4]);
	  // create the prediction
	  // returns the value 10
	  var prediction = regmod.predict(vec);
     
});
});

it("should make test number 20", function () {

	  // import modules
	  var analytics = require('qminer').analytics;
	  var la = require('qminer').la;
	  // create a new Ridge Regression object
	  var regmod = new analytics.RidgeReg();
	  // create the test matrix and vector
	  var X = new la.Matrix([[1, 2], [1, -1]]);
	  var y = new la.Vector([3, 3]);
	  // fit the model with X and y
	  // the weights of the model are 2, 1
	  regmod.fit(X, y);
     
});
});

it("should make test number 19", function () {

	 // import analytics module
	 var analytics = require('qminer').analytics;
	 // create a new Ridge Regression object
	 var regmod = new analytics.RidgeReg({ gamma: 5 });
	 // set the parameters of the object
	 var param = regmod.setParams({ gamma: 10 });
	
});
});

assert.doesNotThrow(function () {
                var reg = new analytics.RidgeReg(1.0);
            });
        })