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| const ml = require('ml-regression'); | |
| const csv = require('csvtojson'); | |
| const SLR = ml.SLR; // Simple Linear Regression | |
| const csvFilePath = 'advertising.csv'; // Data | |
| let csvData = [], // parsed Data | |
| X = [], // Input | |
| y = []; // Output | |
| let regressionModel; |
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| import csv | |
| import functools | |
| import os.path | |
| import numpy | |
| from sqlalchemy import create_engine | |
| import pandas | |
| from sklearn_pandas import DataFrameMapper | |
| import sklearn.preprocessing | |
| from sklearn.pipeline import Pipeline |
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| describe Simulator do | |
| let(:table) { Table.new(5, 5) } | |
| let(:simulator) { described_class.new(table) } | |
| it "places the robot onto a valid position" do | |
| simulator.place(0, 0, "NORTH") | |
| expect(simulator.robot).to be_a(Robot) | |
| end | |
| it "places the robot onto a invalid position" do |
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| const createAdSet = async (fbCampaignId, campaign) => { | |
| try { | |
| const data = { | |
| [AdSet.Fields.campaign_id]: fbCampaignId, | |
| [AdSet.Fields.name]: `${campaign.name} Ad Set`, | |
| [AdSet.Fields.optimization_goal]: 'BRAND_AWARENESS', | |
| [AdSet.Fields.billing_event]: 'IMPRESSIONS', | |
| [AdSet.Fields.is_autobid]: true, | |
| // [AdSet.Fields.bid_amount]: 2, // TODO: Write a conversion method to calculate budget based on end date of campaign. |
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| export function actionTypeBuilder(prefix) { | |
| return { | |
| type: actionType => `${prefix}/${actionType}`, | |
| loading: actionType => `${actionType}/loading`, | |
| ready: actionType => `${actionType}/ready`, | |
| stopped: actionType => `${actionType}/stopped`, | |
| changed: actionType => `${actionType}/changed`, | |
| error: actionType => `${actionType}/error`, | |
| success: actionType => `${actionType}/success` | |
| }; |
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| export function actionTypeBuilder(prefix) { | |
| return { | |
| type: actionType => `${prefix}/${actionType}`, | |
| loading: actionType => `${actionType}/loading`, | |
| ready: actionType => `${actionType}/ready`, | |
| stopped: actionType => `${actionType}/stopped`, | |
| changed: actionType => `${actionType}/changed`, | |
| error: actionType => `${actionType}/error`, | |
| success: actionType => `${actionType}/success` | |
| }; |
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| // meteor algorithm to check if this is a meteor serving http request or not | |
| function IsAppUrl(req) { | |
| var url = req.url; | |
| if(url === '/favicon.ico' || url === '/robots.txt') { | |
| return false; | |
| } | |
| // NOTE: app.manifest is not a web standard like favicon.ico and | |
| // robots.txt. It is a file name we have chosen to use for HTML5 | |
| // appcache URLs. It is included here to prevent using an appcache |
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| export function setTextColor(color) { | |
| const rgb = convertHexToRgb(color) | |
| const gamma = 2.2 | |
| const luminosity = | |
| 0.2126 * Math.pow(splitRgb(rgb).r, gamma) + | |
| 0.7152 * Math.pow(splitRgb(rgb).g, gamma) + | |
| 0.0722 * Math.pow(splitRgb(rgb).b, gamma) | |
| if (luminosity < 0.6) return '#FFFFFF' | |
| return '#282828' | |
| } |
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| import React from 'react'; | |
| import AsyncComponent from './AsyncComponent' | |
| // call this.getAsyncComponent(path) to get a default export. | |
| // call this.getAsyncComponent(path, specifier) to get a non-default export. | |
| class App extends AsyncComponent { | |
| render() { | |
| let view; |
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| export function convertHexToRgba(originalHex, opacity) { | |
| const hex = originalHex.replace('#', '') | |
| const r = parseInt(hex.substring(0, 2), 16) | |
| const g = parseInt(hex.substring(2, 4), 16) | |
| const b = parseInt(hex.substring(4, 6), 16) | |
| const rgba = `rgba(${r}, ${g}, ${b}, ${opacity})` | |
| return rgba | |
| } | |
| export function convertHexToRgb(originalHex) { |