ml-matrix - npm Package Compare versions

Comparing version 1.2.1 to 1.3.0

History.md

@@ -0,1 +1,11 @@
+<a name="1.3.0"></a>
+# [1.3.0](https://github.com/mljs/matrix/compare/v1.2.1...v1.3.0) (2016-07-25)
+
+
+### Features
+
+* add methods scaleRows and scaleColumns ([8516f83](https://github.com/mljs/matrix/commit/8516f83))
+
+
+
 <a name="1.2.1"></a>
@@ -2,0 +12,0 @@ ## [1.2.1](https://github.com/mljs/matrix/compare/v1.2.0...v1.2.1) (2016-07-07)

package.json

 {
   "name": "ml-matrix",
-  "version": "1.2.1",
+  "version": "1.3.0",
   "description": "Matrix manipulation and computation library",
@@ -58,3 +58,6 @@ "main": "src/index.js",
     "should-approximately-deep": "^1.1.0"
+  },
+  "dependencies": {
+    "ml-array-utils": "^0.2.4"
   }
 }

src/matrix.js

 'use strict';
 
+const arrayUtils = require('ml-array-utils');
+
 /**
@@ -1030,2 +1032,41 @@ * Real matrix
     /**
+     * Returns a row-by-row scaled matrix
+     * @param {Number} [min=0] - Minimum scaled value
+     * @param {Number} [max=1] - Maximum scaled value
+     * @returns {Matrix} - The scaled matrix
+     */
+    scaleRows(min, max) {
+        min = min === undefined ? 0 : min;
+        max = max === undefined ? 1 : max;
+        var newMatrix = Matrix.empty(this.rows, this.columns);
+        for(var i=0; i<this.rows; i++) {
+            var scaled = arrayUtils.scale(this.getRow(i), {min, max});
+            newMatrix.setRow(i, scaled);
+        }
+        return newMatrix;
+    }
+
+    /**
+     * Returns a new column-by-column scaled matrix
+     * @param {Number} [min=0] - Minimum scaled value
+     * @param {Number} [max=1] - Maximum scaled value
+     * @returns {Matrix} - The new scaled matrix
+     */
+    scaleColumns(min, max) {
+        min = min === undefined ? 0 : min;
+        max = max === undefined ? 1 : max;
+        var newMatrix = Matrix.empty(this.rows, this.columns);
+        for(var i=0; i<this.columns; i++) {
+            var scaled = arrayUtils.scale(this.getColumn(i), {
+                min: min,
+                max: max
+            });
+            newMatrix.setColumn(i, scaled);
+        }
+        return newMatrix;
+    }
+
+
+
+    /**
      * Returns the Kronecker product (also known as tensor product) between this and other
@@ -1032,0 +1073,0 @@ * See https://en.wikipedia.org/wiki/Kronecker_product

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Uses eval

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Improved metrics

Total package byte prevSize

97987

1.63%

Lines of code

2949

1.24%

Worsened metrics

Dependency count

1

Infinity%

Number of medium supply chain risk alerts

9

Infinity%

Dependency changes

• + Added

  ml-array-utils@^0.2.4

• + Added

  ml-array-utils@0.2.4
  (transitive)

• + Added

  ml-binary-search@1.1.2
  (transitive)

• + Added

  ml-stat@1.3.3
  (transitive)