Polyglot Machine Learning example for scraping similar news articles.

Overview

Polyglot Machine Learning example for scraping similar news articles

Machine Learning Polyglot with Python and NodeJS

In this example, we will see how we can work with Machine Learning applications written in Python with a NodeJS Script, to build a Polyglot Machine Learning application for scraping similar news articles.

Install

Install MetaCall CLI:

$ curl -sL https://raw.githubusercontent.com/metacall/install/master/install.sh | sh

Install application dependencies:

  • For Python: metacall pip3 install -r requirements.txt
  • For NodeJS: metacall npm i readline-sync

Run the Example

$ metacall app.js

Once the application is kick-started, you will be prompted to enter a News Article which you would like to find similar articles for. Let's use this sample article for testing our application: https://www.nytimes.com/2021/03/23/business/teslas-autopilot-safety-investigations.html

Here is the application output:

$ metacall app.js
Information: Global configuration loaded from /gnu/store/5cxmq6y8z24ijnvhh6lndgpriwnhf3jl-metacall-0.3.17/configurations/global.json
Enter the News URL:
https://www.nytimes.com/2021/03/23/business/teslas-autopilot-safety-investigations.html
┌─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬───────────────┐
│                                                       (index)                                                       │    Values     │
├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┼───────────────┤
│ https://auto.timesofindia.com/news/others/teslas-autopilot-technology-faces-fresh-scrutiny/articleshow/81652823.cms │ '83.68405286' │
│                    https://www.autosafety.org/teslas-autopilot-technology-faces-fresh-scrutiny/                     │ '60.35694007' │
│                    https://www.anandmarket.in/teslas-autopilot-technology-faces-fresh-scrutiny/                     │ '94.97681053' │
│                                     https://www.entrepreneur.com/article/367724                                     │ '60.67538891' │
│                 http://www.newsnetworks.in/india/teslas-autopilot-technology-faces-fresh-scrutiny/                  │     '0.'      │
└─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴───────────────┘
Script (app.js) loaded correctly

Deployment using MetaCall FaaS

After deploying the application into the FaaS https://dashboard.metacall.io, it can be accessed with (change by the alias you used to sign up):

curl -X POST https://api.metacall.io/<your_alias>/ml-news-article-scraper-example/v1/call/links -X POST --data '{ "url": "https://www.nytimes.com/2021/03/23/business/teslas-autopilot-safety-investigations.html" }'

LICENSE

Apache License 2.0

Owner
MetaCall
MetaCall
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

[Due to the time taken @ uni, work + hell breaking loose in my life, since things have calmed down a bit, will continue commiting!!!] [By the way, I'm

Daniel Han-Chen 1.4k Jan 01, 2023
Fourier-Bayesian estimation of stochastic volatility models

fourier-bayesian-sv-estimation Fourier-Bayesian estimation of stochastic volatility models Code used to run the numerical examples of "Bayesian Approa

15 Jun 20, 2022
Predicting India’s COVID-19 Third Wave with LSTM

Predicting India’s COVID-19 Third Wave with LSTM Complete project of predicting new COVID-19 cases in the next 90 days with LSTM India is seeing a ste

Samrat Dutta 4 Jan 27, 2022
Responsible Machine Learning with Python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

ph_ 624 Jan 06, 2023
ML Optimizers from scratch using JAX

Toy implementations of some popular ML optimizers using Python/JAX

Shreyansh Singh 38 Jul 29, 2022
BudouX is the successor to Budou, the machine learning powered line break organizer tool.

BudouX Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning powered line break organizer tool. It is standalone

Google 868 Jan 05, 2023
Ml based project which uses regression technique to predict the price.

Price-Predictor Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with

Garvit Verma 1 Jul 09, 2022
AtsPy: Automated Time Series Models in Python (by @firmai)

Automated Time Series Models in Python (AtsPy) SSRN Report Easily develop state of the art time series models to forecast univariate data series. Simp

Derek Snow 465 Jan 02, 2023
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear

23.3k Dec 31, 2022
Send rockets to Mars with artificial intelligence(Genetic algorithm) in python.

Send Rockets To Mars With AI Send rockets to Mars with artificial intelligence(Genetic algorithm) in python. Tools Python 3 EasyDraw How to Play Insta

Mohammad Dori 3 Jul 15, 2022
Code base of KU AIRS: SPARK Autonomous Vehicle Team

KU AIRS: SPARK Autonomous Vehicle Project Check this link for the blog post describing this project and the video of SPARK in simulation and on parkou

Mehmet Enes Erciyes 1 Nov 23, 2021
Case studies with Bayesian methods

Case studies with Bayesian methods

Baze Petrushev 8 Nov 26, 2022
Covid-polygraph - a set of Machine Learning-driven fact-checking tools

Covid-polygraph, a set of Machine Learning-driven fact-checking tools that aim to address the issue of misleading information related to COVID-19.

1 Apr 22, 2022
Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.

Model Search Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers sp

AriesTriputranto 1 Dec 13, 2021
2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics, including some suggested extensions.

Fluid Simulation Usage Download this repo and store it in your computer. Open a terminal and go to the root directory of this folder. Make sure you ha

Mariana Ávalos Arce 5 Dec 02, 2022
Uber Open Source 1.6k Dec 31, 2022
Lightning ⚡️ fast forecasting with statistical and econometric models.

Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni

Nixtla 2.1k Dec 29, 2022
Anomaly Detection and Correlation library

luminol Overview Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detecti

LinkedIn 1.1k Jan 01, 2023
A Python step-by-step primer for Machine Learning and Optimization

early-ML Presentation General Machine Learning tutorials A Python step-by-step primer for Machine Learning and Optimization This github repository gat

Dimitri Bettebghor 8 Dec 01, 2022
The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it inside a loop of Design, Model Development and Operations.

MLOps The MLOps is the process of continuous integration and continuous delivery of Machine Learning artifacts as a software product, keeping it insid

Maykon Schots 25 Nov 27, 2022