feat(binary-search): add v1.1.0 of binary search algorithm

Author: maasencioh

README.md

@@ -9,9 +9,9 @@ Machine learning tools
 
 ## Introduction
 
-This library is a compilation of the tools developed in the [mljs](https://github.com/mljs) organization.  
+This library is a compilation of the tools developed in the [mljs](https://github.com/mljs) organization.
 It is mainly maintained for use in the browser. If you are working with Node.js, you might prefer to add
-to your dependencies only the libraries that you need, as they are usually published to npm more often.  
+to your dependencies only the libraries that you need, as they are usually published to npm more often.
 We prefix all our npm package names with `ml-` (eg. ml-matrix) so they are easy to find.
 
 ## Installation
@@ -62,6 +62,7 @@ require(['path/to/ml/dist/ml.min'], function (ML) {
     * Matrix: [`ML.Matrix`](https://github.com/mljs/matrix)
     * Pad array: [`ML.PadArray`](https://github.com/mljs/pad-array)
     * Regression: [`ML.Regression`](https://github.com/mljs/regression)
+    * Binary search: [`ML.BinarySearch`](https://github.com/mljs/binary-search)
 * Math: `ML.Math`
     * Distance: [`ML.Math.Distance`](https://github.com/mljs/distance)
     * Similarity: [`ML.Math.Similarity`](https://github.com/mljs/distance)

package.json

@@ -30,6 +30,7 @@
   "homepage": "https://github.com/mljs/ml",
   "dependencies": {
     "ml-array-utils": "^0.2.4",
+    "ml-binary-search": "^1.1.0",
     "ml-bit-array": "^1.0.0",
     "ml-cross-validation": "^1.0.1",
     "ml-curve-fitting": "^0.0.7",

src/index.js

@@ -7,6 +7,7 @@ exports.HashTable = require('ml-hash-table');
 exports.Matrix = require('ml-matrix');
 exports.PadArray = require('ml-pad-array');
 exports.Regression = require('ml-regression');
+exports.BinarySearch = require('ml-binary-search');
 
 
 // Math packages