feature/prettier-update:

1. prettierrc
2. applying the new rules

.prettierrc

@@ -0,0 +1,6 @@
+{
+  "printWidth": 120,
+  "singleQuote": true,
+  "bracketSpacing": true,
+  "parser": "typescript"
+}

package.json

@@ -13,7 +13,7 @@
     "build": "run-s clean && run-p build:*",
     "build:main": "tsc -p tsconfig.json",
     "build:module": "tsc -p tsconfig.module.json",
-    "fix": "npx prettier \"src/**/*.ts\" \"test/**/*.ts\" \"docs/**/*.ts\" --print-width 120 --write",
+    "fix": "npx prettier \"src/**/*.ts\" \"test/**/*.ts\" \"docs/**/*.ts\" --config ./.prettierrc --write",
     "test": "npx run-s build test:*",
     "test:lint": "npx tslint --force -t verbose 'test/**/*.ts' 'src/**/*.ts'",
     "test:unit": "npx jest",

test/clusters/k_means.test.ts

@@ -39,18 +39,18 @@ describe('clusters:k_means', () => {
   });
 
   it('should predict [ 0, 0 ] from predVector2 prediction', () => {
-    const expectedResult = [ 0, 0 ];
+    const expectedResult = [0, 0];
     const kmean = new KMeans({ k: 3 });
     kmean.fit({ X: vector1 });
     const pred = kmean.predict({ X: predVector2 });
     expect(_.isEqual(pred, expectedResult)).toBe(true);
   });
 
   it('should predict [ 0, 0 ] from predVector2 with X: vector1', () => {
-    const expectedResult = [ 0, 0 ];
+    const expectedResult = [0, 0];
     const kmean = new KMeans({ k: 2 });
     kmean.fit({ X: vector1 });
     const pred = kmean.predict({ X: predVector2 });
     expect(_.isEqual(expectedResult, pred)).toBe(true);
-  })
+  });
 });