chore: update project to current code style

Author: targos

.babelrc

@@ -1,5 +1,3 @@
-extends: 'eslint-config-cheminfo'
+extends: cheminfo
 parserOptions:
   sourceType: module
-env:
-  jest: true

.eslintrc.yml

@@ -0,0 +1,36 @@
+name: Node.js CI
+
+on:
+  push:
+    branches: master
+  pull_request:
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-node@v1
+        with:
+          node-version: 14.x
+      - name: npm install and lint
+        run: |
+          npm install
+          npm run eslint
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        node-version: [10.x, 12.x, 14.x]
+    steps:
+      - uses: actions/checkout@v2
+      - name: Use Node.js ${{ matrix.node-version }}
+        uses: actions/setup-node@v1
+        with:
+          node-version: ${{ matrix.node-version }}
+      - name: npm install and test
+        run: |
+          npm install
+          npm run test-coverage
+      - name: Send coverage report to Codecov
+        uses: codecov/codecov-action@v1

.github/workflows/nodejs.yml

@@ -0,0 +1 @@
+package-lock=false

.npmrc

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2017 ml.js
+Copyright (c) 2020 ml.js
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

.travis.yml

@@ -1,44 +1,58 @@
 # logistic-regression
 
-  [![NPM version][npm-image]][npm-url]
-  [![build status][travis-image]][travis-url]
-  [![npm download][download-image]][download-url]
+[![NPM version][npm-image]][npm-url]
+[![build status][ci-image]][ci-url]
+[![Test coverage][codecov-image]][codecov-url]
+[![npm download][download-image]][download-url]
 
-This is an implementation of the logistic regression. When there are more than 2 classes, the method used is the *One VS All*.
+This is an implementation of the logistic regression. When there are more than 2 classes, the method used is the _One VS All_.
 
 ## Installation
 
-`$ npm install --save ml-logistic-regression`
+`$ npm i ml-logistic-regression`
 
 ## Usage
 
-```javascript
-const {Matrix} = require('ml-matrix');
+```js
+const { Matrix } = require('ml-matrix');
+
+// Our training set (X,Y).
+const X = new Matrix([[0, -1], [1, 0], [1, 1], [1, -1], [2, 0], [2, 1], [2, -1], [3, 2], [0, 4], [1, 3], [1, 4], [1, 5], [2, 3], [2, 4], [2, 5], [3, 4], [1, 10], [1, 12], [2, 10], [2, 11], [2, 14], [3, 11]]);
+const Y = Matrix.columnVector([0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2]);
+
+// The test set (Xtest, Ytest).
+const Xtest = new Matrix([
+  [0, -2],
+  [1, 0.5],
+  [1.5, -1],
+  [1, 2.5],
+  [2, 3.5],
+  [1.5, 4],
+  [1, 10.5],
+  [2.5, 10.5],
+  [2, 11.5],
+]);
+const Ytest = Matrix.columnVector([0, 0, 0, 1, 1, 1, 2, 2, 2]);
+
+// We will train our model.
+const logreg = new LogisticRegression({ numSteps: 1000, learningRate: 5e-3 });
+logreg.train(X, Y);
+
+// We try to predict the test set.
+const finalResults = logreg.predict(Xtest);
 
-// our training set (X,Y)
-var X = new Matrix([[0,-1], [1,0], [1,1], [1,-1], [2,0], [2,1], [2,-1], [3,2], [0,4], [1,3], [1,4], [1,5], [2,3], [2,4], [2,5], [3,4], [1, 10], [1, 12], [2, 10], [2,11], [2, 14], [3, 11]]);
-var Y = Matrix.columnVector([0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2]);
-
-// the test set (Xtest, Ytest)
-var Xtest = new Matrix([[0, -2], [1, 0.5], [1.5, -1], [1, 2.5], [2, 3.5], [1.5, 4], [1, 10.5], [2.5, 10.5], [2, 11.5]])
-var Ytest = Matrix.columnVector([0, 0, 0, 1, 1, 1, 2, 2, 2]);
-
-// we will train our model
-var logreg = new LogisticRegression({numSteps: 1000, learningRate: 5e-3});
-logreg.train(X,Y);
-
-// we try to predict the test set
-var finalResults = logreg.predict(Xtest);
 // Now, you can compare finalResults with the Ytest, which is what you wanted to have.
 ```
 
 ## License
 
-  [MIT](./LICENSE)
+[MIT](./LICENSE)
 
-[npm-image]: https://img.shields.io/npm/v/ml-logistic-regression.svg?style=flat-square
+[npm-image]: https://img.shields.io/npm/v/ml-logistic-regression.svg
 [npm-url]: https://npmjs.org/package/ml-logistic-regression
-[travis-image]: https://img.shields.io/travis/mljs/logistic-regression/master.svg?style=flat-square
-[travis-url]: https://travis-ci.org/mljs/logistic-regression
-[download-image]: https://img.shields.io/npm/dm/ml-logistic-regression.svg?style=flat-square
+[ci-image]: https://github.com/mljs/logistic-regression/workflows/Node.js%20CI/badge.svg?branch=master
+[ci-url]: https://github.com/mljs/logistic-regression/actions?query=workflow%3A%22Node.js+CI%22
+[codecov-image]: https://img.shields.io/codecov/c/github/mljs/logistic-regression.svg
+[codecov-url]: https://codecov.io/gh/mljs/logistic-regression
+[download-image]: https://img.shields.io/npm/dm/ml-logistic-regression.svg
 [download-url]: https://npmjs.org/package/ml-logistic-regression

LICENSE

@@ -0,0 +1,3 @@
+module.exports = {
+  plugins: ['@babel/plugin-transform-modules-commonjs'],
+};