ml-matrix - npm Package Compare versions

Comparing version 6.0.0-2 to 6.0.0-3

package.json

 {
   "name": "ml-matrix",
-  "version": "6.0.0-2",
+  "version": "6.0.0-3",
   "description": "Matrix manipulation and computation library",
@@ -53,3 +53,3 @@ "main": "matrix.js",
   "devDependencies": {
-    "babel-plugin-transform-es2015-modules-commonjs": "^6.26.2",
+    "@babel/plugin-transform-modules-commonjs": "^7.4.3",
     "benchmark": "^2.1.4",
@@ -69,5 +69,4 @@ "csv-parse": "^4.4.0",
   "dependencies": {
-    "ml-array-max": "^1.1.1",
     "ml-array-rescale": "^1.2.1"
   }
 }

src/abstractMatrix.js

@@ -1351,4 +1351,5 @@ import rescale from 'ml-array-rescale';
       for (var i = 0; i < this.rows; i++) {
-        var scaled = rescale(this.getRow(i), { min, max });
-        newMatrix.setRow(i, scaled);
+        const row = this.getRow(i);
+        rescale(row, { min, max, output: row });
+        newMatrix.setRow(i, row);
       }
@@ -1375,7 +1376,9 @@ return newMatrix;
       for (var i = 0; i < this.columns; i++) {
-        var scaled = rescale(this.getColumn(i), {
+        const column = this.getColumn(i);
+        rescale(column, {
           min: min,
-          max: max
+          max: max,
+          output: column
         });
-        newMatrix.setColumn(i, scaled);
+        newMatrix.setColumn(i, column);
       }
@@ -1833,3 +1836,3 @@ return newMatrix;
 
-      const variance = this.variance(means, unbiased);
+      const variance = this.variance(unbiased, means);
       for (var i = 0; i < variance.length; i++) {
@@ -1836,0 +1839,0 @@ variance[i] = Math.sqrt(variance[i]);

src/dc/evd.js

@@ -215,3 +215,3 @@ import { Matrix, WrapperMatrix2D } from '../index';
 
-  V[n - 1][n - 1] = 1;
+  V.set(n - 1, n - 1, 1);
   e[0] = 0;
@@ -218,0 +218,0 @@ }

src/linearDependencies.js

@@ -1,3 +0,1 @@
-import max from 'ml-array-max';
-
 import Matrix from './matrix';
@@ -60,7 +58,5 @@ import SingularValueDecomposition from './dc/svd';
     var x = svd.solve(b);
-    var error = max(
-      Matrix.sub(b, Abis.mmul(x))
-        .abs()
-        .to1DArray()
-    );
+    var error = Matrix.sub(b, Abis.mmul(x))
+      .abs()
+      .max();
     results.setRow(
@@ -67,0 +63,0 @@ i,

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Improved metrics

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1

decreased by-50%

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Total package byte prevSize

290794

decreased by-0.01%

Dependency changes

• - Removedml-array-max@^1.1.1