Perf matrix

.travis.yml

@@ -1,6 +1,5 @@
 language: node_js
 node_js:
-  - node
+  - 8
   - lts/boron #v6
-  - lts/argon #v4
 sudo: false

Benchmark/featureBag.js

@@ -1,7 +1,5 @@
-'use strict';
-
 var Suite = require('benchmark').Suite;
-var Matrix = require('ml-matrix');
+var Matrix = require('ml-matrix').Matrix;
 var Random = require('random-js');
 
 var data = Matrix.rand(100, 120);
@@ -22,6 +20,10 @@ suite
         for(var i = 0; i < data.column; ++i) {
             fbv3(data, i);
         }
+    }).add("Transpose view", function () {
+        for(var i = 0; i < data.column; ++i) {
+            fbv4(data, i);
+        }
     })
     .on('cycle', function (event) {
         console.log(String(event.target));
@@ -69,3 +71,18 @@ function fbv3(X, n) {
 
     return toRet;
 }
+
+function fbv4(X, n) {
+    var distribution = Random.integer(0, X.column);
+    var engine = Random.engines.mt19937().autoSeed();
+
+    var Xt = X.transposeView();
+
+    var toRet = new Array(n);
+
+    for(var i = 0; i < n; ++i) {
+        toRet[i] = Xt[distribution(engine)];
+    }
+
+    return new Matrix(toRet).transposeView();
+}

Benchmark/predictTranspose.js

@@ -0,0 +1,41 @@
+
+var Suite = require('benchmark').Suite;
+var Matrix = require('ml-matrix').Matrix;
+
+var testSize = 120;
+
+var data = Matrix.rand(1000, testSize);
+
+var suite = new Suite();
+
+ptv1(data);
+
+suite
+    .add('tranpose', function () {
+        ptv1(data);
+    })
+    .add('transpose view', function () {
+        ptv2(data);
+    }).on('cycle', function (event) {
+    console.log(String(event.target));
+}).run();
+
+function ptv1(X) {
+    var newData = X.transpose();
+    var predictions = new Array(newData.length);
+    for (var i = 0; i < newData.length; ++i) {
+        predictions[i] = newData[i];
+    }
+
+    return predictions;
+}
+
+function ptv2(X) {
+    var newData = X.transposeView();
+    var predictions = new Array(newData.length);
+    for (var i = 0; i < newData.length; ++i) {
+        predictions[i] = newData.getColumn(i);
+    }
+
+    return predictions;
+}

Benchmark/retreiveFeatures.js

@@ -0,0 +1,49 @@
+var Suite = require('benchmark').Suite;
+var Matrix = require('ml-matrix').Matrix;
+var Random = require('random-js');
+
+var testSize = 120;
+
+var data = Matrix.rand(100, testSize);
+var indexes = new Array(testSize);
+
+for(var i = 0; i < testSize; ++i) {
+    indexes[i] = i;
+}
+
+var suite = new Suite();
+
+suite
+    .add('get and set column', function () {
+        rfv1(data, indexes);
+    })
+    .add('Get column', function () {
+        rfv2(data, indexes);
+    })
+    .add('use matrix get column', function () {
+        rfv3(data, indexes);
+    })
+    .on('cycle', function (event) {
+        console.log(String(event.target));
+    }).run();
+
+function rfv1(X, indexes) {
+    var toRet = new Matrix(X.rows, indexes.length);
+    for (var i = 0; i < indexes.length; ++i) {
+        toRet.setColumn(i, X.getColumn(indexes[i]));
+    }
+
+    return toRet;
+}
+
+function rfv2(X, indexes) {
+    var toRet = new Matrix(indexes.length, X.rows);
+    for(var i = 0; i < indexes.length; ++i) {
+        toRet[i] = X.getColumn(indexes[i]);
+    }
+    return toRet.transposeView();
+}
+
+function rfv3(X, indexes) {
+    return X.columnSelectionView(indexes);
+}