ml-regression-exponential - npm Package Compare versions

Comparing version 2.0.0 to 2.1.0

History.md

@@ -0,1 +1,8 @@
+## [2.1.0](https://github.com/mljs/regression-exponential/compare/v2.0.0...v2.1.0) (2021-05-10)
+
+
+### Features
+
+* update dependencies and add TS definition ([b2d5a84](https://github.com/mljs/regression-exponential/commit/b2d5a84cd4eb127dc2d4dc041d77ef1d2aa747bf))
+
 # [2.0.0](https://github.com/mljs/regression-exponential/compare/v1.0.1...v2.0.0) (2019-06-29)
@@ -2,0 +9,0 @@

lib/index.js

 'use strict';
 
-function _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; }
-
 var BaseRegression = require('ml-regression-base');
-var BaseRegression__default = _interopDefault(BaseRegression);
-var SimpleLinearRegression = _interopDefault(require('ml-regression-simple-linear'));
+var SimpleLinearRegression = require('ml-regression-simple-linear');
 
-class ExponentialRegression extends BaseRegression__default {
+function _interopDefaultLegacy (e) { return e && typeof e === 'object' && 'default' in e ? e : { 'default': e }; }
+
+var BaseRegression__default = /*#__PURE__*/_interopDefaultLegacy(BaseRegression);
+var SimpleLinearRegression__default = /*#__PURE__*/_interopDefaultLegacy(SimpleLinearRegression);
+
+class ExponentialRegression extends BaseRegression__default['default'] {
   constructor(x, y) {
@@ -29,3 +31,3 @@ super();
       A: this.A,
-      B: this.B
+      B: this.B,
     };
@@ -35,9 +37,6 @@ }
   toString(precision) {
-    return (
-      `f(x) = ${
-        BaseRegression.maybeToPrecision(this.B, precision)
-      } * e^(${
-        BaseRegression.maybeToPrecision(this.A, precision)
-      } * x)`
-    );
+    return `f(x) = ${BaseRegression.maybeToPrecision(
+      this.B,
+      precision,
+    )} * e^(${BaseRegression.maybeToPrecision(this.A, precision)} * x)`;
   }
@@ -47,17 +46,11 @@
     if (this.A >= 0) {
-      return (
-        `f(x) = ${
-          BaseRegression.maybeToPrecision(this.B, precision)
-        }e^{${
-          BaseRegression.maybeToPrecision(this.A, precision)
-        }x}`
-      );
+      return `f(x) = ${BaseRegression.maybeToPrecision(
+        this.B,
+        precision,
+      )}e^{${BaseRegression.maybeToPrecision(this.A, precision)}x}`;
     } else {
-      return (
-        `f(x) = \\frac{${
-          BaseRegression.maybeToPrecision(this.B, precision)
-        }}{e^{${
-          BaseRegression.maybeToPrecision(-this.A, precision)
-        }x}}`
-      );
+      return `f(x) = \\frac{${BaseRegression.maybeToPrecision(
+        this.B,
+        precision,
+      )}}{e^{${BaseRegression.maybeToPrecision(-this.A, precision)}x}}`;
     }
@@ -81,3 +74,3 @@ }
 
-  const linear = new SimpleLinearRegression(x, yl);
+  const linear = new SimpleLinearRegression__default['default'](x, yl);
   er.A = linear.slope;
@@ -84,0 +77,0 @@ er.B = Math.exp(linear.intercept);

package.json

 {
   "name": "ml-regression-exponential",
-  "version": "2.0.0",
+  "version": "2.1.0",
   "description": "Exponential Regression",
   "main": "lib/index.js",
   "module": "src/index.js",
+  "types": "regression-exponential.d.ts",
   "files": [
+    "regression-exponential.d.ts",
     "lib",
@@ -15,3 +17,3 @@ "src"
     "eslint-fix": "npm run eslint -- --fix",
-    "prepublishOnly": "npm run compile",
+    "prepack": "npm run compile",
     "test": "npm run test-coverage && npm run eslint",
@@ -36,14 +38,13 @@ "test-only": "jest",
   "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": "^7.14.0",
+    "eslint": "^7.26.0",
+    "eslint-config-cheminfo": "^5.2.3",
+    "jest": "^26.6.3",
+    "prettier": "^2.3.0",
+    "rollup": "^2.47.0"
   },
   "dependencies": {
-    "ml-regression-base": "^2.0.1",
-    "ml-regression-simple-linear": "^2.0.2"
+    "ml-regression-base": "^2.1.3",
+    "ml-regression-simple-linear": "^2.0.3"
   }
 }

README.md

 # regression-exponential
 
 [![NPM version][npm-image]][npm-url]
-[![build status][travis-image]][travis-url]
+[![build status][ci-image]][ci-url]
 [![npm download][download-image]][download-url]
@@ -35,7 +35,7 @@
 
-[npm-image]: https://img.shields.io/npm/v/ml-regression-exponential.svg?style=flat-square
+[npm-image]: https://img.shields.io/npm/v/ml-regression-exponential.svg
 [npm-url]: https://npmjs.org/package/ml-regression-exponential
-[travis-image]: https://img.shields.io/travis/mljs/regression-exponential/master.svg?style=flat-square
-[travis-url]: https://travis-ci.org/mljs/regression-exponential
-[download-image]: https://img.shields.io/npm/dm/ml-regression-exponential.svg?style=flat-square
+[ci-image]: https://github.com/mljs/regression-exponential/workflows/Node.js%20CI/badge.svg?branch=master
+[ci-url]: https://github.com/mljs/regression-exponential/actions?query=workflow%3A%22Node.js+CI%22
+[download-image]: https://img.shields.io/npm/dm/ml-regression-exponential.svg
 [download-url]: https://npmjs.org/package/ml-regression-exponential

src/__tests__/test.js

@@ -23,3 +23,3 @@ import ExponentialRegression from '..';
       A: -1,
-      B: 1
+      B: 1,
     });
@@ -29,3 +29,3 @@
       0.36787944117144233,
-      Number.EPSILON
+      Number.EPSILON,
     );
@@ -37,5 +37,5 @@
       A: -1,
-      B: 1
+      B: 1,
     });
   });
 });

src/index.js

 import BaseRegression, {
   checkArrayLength,
-  maybeToPrecision
+  maybeToPrecision,
 } from 'ml-regression-base';
@@ -27,3 +27,3 @@ import SimpleLinearRegression from 'ml-regression-simple-linear';
       A: this.A,
-      B: this.B
+      B: this.B,
     };
@@ -33,9 +33,6 @@ }
   toString(precision) {
-    return (
-      `f(x) = ${
-        maybeToPrecision(this.B, precision)
-      } * e^(${
-        maybeToPrecision(this.A, precision)
-      } * x)`
-    );
+    return `f(x) = ${maybeToPrecision(
+      this.B,
+      precision,
+    )} * e^(${maybeToPrecision(this.A, precision)} * x)`;
   }
@@ -45,17 +42,11 @@
     if (this.A >= 0) {
-      return (
-        `f(x) = ${
-          maybeToPrecision(this.B, precision)
-        }e^{${
-          maybeToPrecision(this.A, precision)
-        }x}`
-      );
+      return `f(x) = ${maybeToPrecision(
+        this.B,
+        precision,
+      )}e^{${maybeToPrecision(this.A, precision)}x}`;
     } else {
-      return (
-        `f(x) = \\frac{${
-          maybeToPrecision(this.B, precision)
-        }}{e^{${
-          maybeToPrecision(-this.A, precision)
-        }x}}`
-      );
+      return `f(x) = \\frac{${maybeToPrecision(
+        this.B,
+        precision,
+      )}}{e^{${maybeToPrecision(-this.A, precision)}x}}`;
     }
@@ -62,0 +53,0 @@ }

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Improved metrics

Total package byte prevSize

9737

increased by11.68%

Dev dependency count

6

decreased by-14.29%

Number of package files

8

increased by14.29%

Worsened metrics

Lines of code

171

decreased by-2.84%

Dependency changes

• Updatedml-regression-base@^2.1.3

• Updatedml-regression-simple-linear@^2.0.3