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
A model to predict steering torque fully end-to-end

torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f

Shane Smiskol 4 Jun 03, 2022
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Real-time water systems lab 416 Jan 06, 2023
MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine Learning work with thousands of other users.

The collaboration platform for Machine Learning MLReef is an open source ML-Ops platform that helps you collaborate, reproduce and share your Machine

MLReef 1.4k Dec 27, 2022
(3D): LeGO-LOAM, LIO-SAM, and LVI-SAM installation and application

SLAM-application: installation and test (3D): LeGO-LOAM, LIO-SAM, and LVI-SAM Tested on Quadruped robot in Gazebo ● Results: video, video2 Requirement

EungChang-Mason-Lee 203 Dec 26, 2022
This is a Machine Learning model which predicts the presence of Diabetes in Patients

Diabetes Disease Prediction This is a machine Learning mode which tries to determine if a person has a diabetes or not. Data The dataset is in comma s

Edem Gold 4 Mar 16, 2022
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstraction

ZenML 2.6k Jan 08, 2023
A modular active learning framework for Python

Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe

modAL 1.9k Dec 31, 2022
MLflow App Using React, Hooks, RabbitMQ, FastAPI Server, Celery, Microservices

Katana ML Skipper This is a simple and flexible ML workflow engine. It helps to orchestrate events across a set of microservices and create executable

Tom Xu 8 Nov 17, 2022
Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc)

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed

Chris Yuan 1 Feb 06, 2022
dirty_cat is a Python module for machine-learning on dirty categorical variables.

dirty_cat dirty_cat is a Python module for machine-learning on dirty categorical variables.

637 Dec 29, 2022
Solve automatic numerical differentiation problems in one or more variables.

numdifftools The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more vari

Per A. Brodtkorb 181 Dec 16, 2022
Implementation of different ML Algorithms from scratch, written in Python 3.x

Implementation of different ML Algorithms from scratch, written in Python 3.x

Gautam J 393 Nov 29, 2022
Python Machine Learning Jupyter Notebooks (ML website)

Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also

Tirthajyoti Sarkar 2.6k Jan 03, 2023
Implementation of the Object Relation Transformer for Image Captioning

Object Relation Transformer This is a PyTorch implementation of the Object Relation Transformer published in NeurIPS 2019. You can find the paper here

Yahoo 158 Dec 24, 2022
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

Rishabh Iyer 141 Nov 10, 2022
#30DaysOfStreamlit is a 30-day social challenge for you to build and deploy Streamlit apps.

30 Days Of Streamlit 🎈 This is the official repo of #30DaysOfStreamlit — a 30-day social challenge for you to learn, build and deploy Streamlit apps.

Streamlit 53 Jan 02, 2023
Tools for mathematical optimization region

Tools for mathematical optimization region

林景 15 Nov 30, 2022
Datetimes for Humans™

Maya: Datetimes for Humans™ Datetimes are very frustrating to work with in Python, especially when dealing with different locales on different systems

Timo Furrer 3.4k Dec 28, 2022
Neighbourhood Retrieval (Nearest Neighbours) with Distance Correlation.

Neighbourhood Retrieval with Distance Correlation Assign Pseudo class labels to datapoints in the latent space. NNDC is a slim wrapper around FAISS. N

The Learning Machines 1 Jan 16, 2022
InfiniteBoost: building infinite ensembles with gradient descent

InfiniteBoost Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov, T. Likhomanenko De

Alex Rogozhnikov 183 Jan 03, 2023