ml-regression-polynomial - npm Package Compare versions

Comparing version 2.0.0 to 2.1.0

History.md

@@ -0,1 +1,10 @@
+# [2.1.0](https://github.com/mljs/regression-polynomial/compare/v2.0.0...v2.1.0) (2020-02-04)
+
+
+### Features
+
+* works in typed array ([9617088](https://github.com/mljs/regression-polynomial/commit/961708871c015512921f4538ee6396727db2e8b7))
+
+
+
 # [2.0.0](https://github.com/mljs/regression-polynomial/compare/v1.0.3...v2.0.0) (2019-06-29)
@@ -2,0 +11,0 @@

lib/index.js

@@ -35,3 +35,3 @@ 'use strict';
       powers: this.powers,
-      coefficients: this.coefficients
+      coefficients: this.coefficients,
     };
@@ -67,12 +67,7 @@ }
           if (this.powers[k] === 1) {
-            str =
-              `${BaseRegression.maybeToPrecision(this.coefficients[k], precision) + times}x`;
+            str = `${BaseRegression.maybeToPrecision(this.coefficients[k], precision) +
+              times}x`;
           } else {
-            str =
-              `${BaseRegression.maybeToPrecision(this.coefficients[k], precision) +
-              times
-              }x${
-                sup
-              }${this.powers[k]
-              }${closeSup}`;
+            str = `${BaseRegression.maybeToPrecision(this.coefficients[k], precision) +
+              times}x${sup}${this.powers[k]}${closeSup}`;
           }
@@ -79,0 +74,0 @@ }

package.json

 {
   "name": "ml-regression-polynomial",
-  "version": "2.0.0",
+  "version": "2.1.0",
   "description": "Polynomial Regression",
@@ -35,14 +35,16 @@ "main": "lib/index.js",
   "devDependencies": {
-    "@babel/plugin-transform-modules-commonjs": "^7.4.4",
-    "eslint": "^5.16.0",
-    "eslint-config-cheminfo": "^1.20.1",
-    "eslint-plugin-import": "^2.17.2",
-    "eslint-plugin-jest": "^22.5.1",
-    "jest": "^24.7.1",
-    "rollup": "^1.10.1"
+    "@babel/plugin-transform-modules-commonjs": "^7.8.3",
+    "eslint": "^6.8.0",
+    "eslint-config-cheminfo": "^2.0.4",
+    "eslint-plugin-import": "^2.20.1",
+    "eslint-plugin-jest": "^23.6.0",
+    "eslint-plugin-prettier": "^3.1.2",
+    "jest": "^25.1.0",
+    "prettier": "^1.19.1",
+    "rollup": "^1.31.0"
   },
   "dependencies": {
-    "ml-matrix": "^6.1.2",
-    "ml-regression-base": "^2.0.1"
+    "ml-matrix": "^6.4.1",
+    "ml-regression-base": "^2.1.1"
   }
 }

src/__tests__/test.js

@@ -21,3 +21,3 @@ import PolynomialRegression from '..';
     expect(result.toString(4)).toBe(
-      'f(x) = 0.1785 * x^2 - 0.1925 * x + 0.8505'
+      'f(x) = 0.1785 * x^2 - 0.1925 * x + 0.8505',
     );
@@ -27,2 +27,24 @@ expect(result.toLaTeX(2)).toBe('f(x) = 0.18x^{2} - 0.19x + 0.85');
 
+  it('degree 2 typed array', () => {
+    const x = new Float64Array([-3, 0, 2, 4]);
+    const y = new Float64Array([3, 1, 1, 3]);
+    const result = new PolynomialRegression(x, y, 2);
+
+    const expected = [0.850519, -0.192495, 0.178462];
+
+    for (let i = 0; i < expected.length; ++i) {
+      expect(result.coefficients[i]).toBeCloseTo(expected[i], 10e-6);
+      expect(result.powers[i]).toBe(i);
+    }
+
+    const score = result.score(x, y);
+    expect(score.r2).toBeGreaterThan(0.8);
+    expect(score.chi2).toBeLessThan(0.1);
+    expect(score.rmsd).toBeCloseTo(0.12);
+    expect(result.toString(4)).toBe(
+      'f(x) = 0.1785 * x^2 - 0.1925 * x + 0.8505',
+    );
+    expect(result.toLaTeX(2)).toBe('f(x) = 0.18x^{2} - 0.19x + 0.85');
+  });
+
   it('degree 5', () => {
@@ -45,3 +67,3 @@ const x = [50, 50, 50, 70, 70, 70, 80, 80, 80, 90, 90, 90, 100, 100, 100];
       3.5,
-      3.0
+      3.0,
     ];
@@ -57,6 +79,6 @@ const degree = 5;
       -0.000001302280135149651,
-      3.837755337564968e-9
+      3.837755337564968e-9,
     ]);
     expect(regression.toString(3)).toBe(
-      'f(x) = 3.84e-9 * x^5 - 0.00000130 * x^4 + 0.000137 * x^3 - 0.00199 * x^2 - 0.392 * x + 17.4'
+      'f(x) = 3.84e-9 * x^5 - 0.00000130 * x^4 + 0.000137 * x^3 - 0.00199 * x^2 - 0.392 * x + 17.4',
     );
@@ -70,3 +92,3 @@ });
       powers: [1],
-      coefficients: [-1]
+      coefficients: [-1],
     });
@@ -81,5 +103,5 @@
       powers: [1],
-      coefficients: [-1]
+      coefficients: [-1],
     });
   });
 });

src/index.js

 import BaseRegression, {
   checkArrayLength,
-  maybeToPrecision
+  maybeToPrecision,
 } from 'ml-regression-base';
@@ -33,3 +33,3 @@ import { Matrix, MatrixTransposeView, solve } from 'ml-matrix';
       powers: this.powers,
-      coefficients: this.coefficients
+      coefficients: this.coefficients,
     };
@@ -65,12 +65,7 @@ }
           if (this.powers[k] === 1) {
-            str =
-              `${maybeToPrecision(this.coefficients[k], precision) + times}x`;
+            str = `${maybeToPrecision(this.coefficients[k], precision) +
+              times}x`;
           } else {
-            str =
-              `${maybeToPrecision(this.coefficients[k], precision) +
-              times
-              }x${
-                sup
-              }${this.powers[k]
-              }${closeSup}`;
+            str = `${maybeToPrecision(this.coefficients[k], precision) +
+              times}x${sup}${this.powers[k]}${closeSup}`;
           }
@@ -77,0 +72,0 @@ }

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Improved metrics

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13941

increased by6.97%

Lines of code

318

increased by2.58%

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Dev dependency count

9

increased by28.57%

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1

increased byInfinity%

Dependency changes

• Updatedml-matrix@^6.4.1

• Updatedml-regression-base@^2.1.1