[scaler.js][s]: lint formatting

Author: steveoni

danfojs/tests/preprocessing/scaler.js

@@ -1,60 +1,60 @@
-import { assert } from "chai"
-import { MinMaxScaler, StandardScaler } from "../../src/preprocessing/scalers"
-import {DataFrame} from '../../src/core/frame'
-import {Series} from '../../src/core/series'
+import { assert } from "chai";
+import { MinMaxScaler, StandardScaler } from "../../src/preprocessing/scalers";
+import { DataFrame } from '../../src/core/frame';
+import { Series } from '../../src/core/series';
 
 
 describe("Preprocessing", function(){
 
-    describe("MinMaxscaler", function(){
-
-        it("Standardize values in a DataFrame", function(){
-            let data = [[-1, 2], [-0.5, 6], [0, 10], [1, 18]]
-            let scaler = new MinMaxScaler()
-            let fit_data = [ [ 0, 0 ], [ 0.25, 0.25 ], [ 0.5, 0.5 ], [ 1, 1 ] ]
-            let transform_data = [[1.5, 0. ]];
-            scaler.fit(new DataFrame(data))
-            assert.deepEqual(scaler.transform(new DataFrame(data)).values,fit_data)
-            assert.deepEqual(scaler.transform([[2, 2]]).values,transform_data)
-        });
-        it("Standardize values in a Series", function(){
-            let data = [-1, 2, -0.5, 60, 101, 18]
-            let scaler = new MinMaxScaler()
-            let result = [0, 0.029411764815449715, 0.0049019609577953815, 0.5980392098426819, 1, 0.18627451360225677]
-            let transform_data = [0.029411764815449715, 0.029411764815449715 ]
-            scaler.fit(new Series(data))
-            assert.deepEqual(scaler.transform(new Series(data)).values,result)
-            assert.deepEqual(scaler.transform([2, 2]).values,transform_data)
-        });
-    })
-
-    describe("StandardScaler", function(){
-
-        it("basic test", function(){
-            let data = [[0, 0], [0, 0], [1, 1], [1, 1]]
-
-            let scaler = new StandardScaler()
-            let fit_data = [ [ -0.9, -0.9 ], [ -0.9, -0.9 ], [ 0.9, 0.9 ], [ 0.9, 0.9 ] ]
-            let transform_data = [ [ 2.8, 2.8 ] ];
-
-            assert.deepEqual(scaler.fit(new DataFrame(data)).round().values, fit_data);
-            assert.deepEqual(scaler.transform([[2, 2]]).round().values, transform_data)
-        })
+  describe("MinMaxscaler", function(){
+
+    it("Standardize values in a DataFrame", function(){
+      let data = [ [ -1, 2 ], [ -0.5, 6 ], [ 0, 10 ], [ 1, 18 ] ];
+      let scaler = new MinMaxScaler();
+      let fit_data = [ [ 0, 0 ], [ 0.25, 0.25 ], [ 0.5, 0.5 ], [ 1, 1 ] ];
+      let transform_data = [ [ 1.5, 0. ] ];
+      scaler.fit(new DataFrame(data));
+      assert.deepEqual(scaler.transform(new DataFrame(data)).values, fit_data);
+      assert.deepEqual(scaler.transform([ [ 2, 2 ] ]).values, transform_data);
+    });
+    it("Standardize values in a Series", function(){
+      let data = [ -1, 2, -0.5, 60, 101, 18 ];
+      let scaler = new MinMaxScaler();
+      let result = [ 0, 0.029411764815449715, 0.0049019609577953815, 0.5980392098426819, 1, 0.18627451360225677 ];
+      let transform_data = [ 0.029411764815449715, 0.029411764815449715 ];
+      scaler.fit(new Series(data));
+      assert.deepEqual(scaler.transform(new Series(data)).values, result);
+      assert.deepEqual(scaler.transform([ 2, 2 ]).values, transform_data);
+    });
+  });
+
+  describe("StandardScaler", function(){
+
+    it("basic test", function(){
+      let data = [ [ 0, 0 ], [ 0, 0 ], [ 1, 1 ], [ 1, 1 ] ];
+
+      let scaler = new StandardScaler();
+      let fit_data = [ [ -1, -1 ], [ -1, -1 ], [ 1, 1 ], [ 1, 1 ] ];
+      let transform_data = [ [ 3, 3 ] ];
+
+      assert.deepEqual(scaler.fit(new DataFrame(data)).round().values, fit_data);
+      assert.deepEqual(scaler.transform([ [ 2, 2 ] ]).round().values, transform_data);
     });
+  });
 
-    // describe("RobustScaler", function(){
-    //     it("basic test", function(){
 
-    //         let data = [[3,1], [7,3], [8,4], [5,6], [12,5], [14,12], [21,23], [15,15], [18,2], [14,15]]
-    //         // let data2 = [[4,100,900],[5,110,800],[21,220,890],[20,300,500]]
-    //         let data2 = [0, 4, 4, 4, 7, 10, 11, 12, 14, 16, 17, 25]
+  // describe("RobustScaler", function(){
+  //     it("basic test", function(){
 
+  //         let data = [[3,1], [7,3], [8,4], [5,6], [12,5], [14,12], [21,23], [15,15], [18,2], [14,15]]
+  //         // let data2 = [[4,100,900],[5,110,800],[21,220,890],[20,300,500]]
+  //         let data2 = [0, 4, 4, 4, 7, 10, 11, 12, 14, 16, 17, 25]
 
 
-    //         let scaler = new RobustScaler()
+  //         let scaler = new RobustScaler()
 
-    //         // console.log(scaler.quantile(data2,true))
+  //         // console.log(scaler.quantile(data2,true))
 
-    //     });
-    // });
-});
+  //     });
+  // });
+});