Model Packaging - Learn Data Science with Travis

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👯‍♀️📦 Edge#151: Model Packaging

TheSequence

In this issue: we discuss Model Packaging; we explore Typed Features at LinkedIn; we overview ONNX, a key framework for ML Interoperability. Enjoy the learning!

Part V - Packaging and Distribution

Python 101

In Part V you will learn about Python packaging and the various methods to distribute your code. You will learn about the following: How to create a module and package Publishing your Packages to the...

The Model’s Shipped; What Could Possibly go Wrong?

Towards Data Science

In our last post we took a broad look at model observability and the role it serves in the machine learning workflow. In particular, we discussed the promise of model observability & model monitoring…...

The Packaging Tool aka `jpackage` - JEP Café #4

Inside Java

Make sure to check the show-notes !

Box Model

Codecademy

The Box Model is a CSS layout mechanism that the web browser uses to render content organized by box-shaped elements. Each element is made of four specific areas: width and height : The width and heig...

Shipping to Production

ByteByteGo Newsletter

A book that I have been waiting for a long time is finally out: The Software Engineer's Guidebook, written by Gergely Orosz, a software engineer and author of 'The Pragmatic Engineer Newsletter.' Sinc...

How to properly ship and deploy your machine learning model

Towards Data Science

As a data scientist, training your machine learning model is only a part of providing a solution for the client. Besides generating and cleaning the data, selecting and tuning the algorithms, you…

Putting Your Models Into Production

Towards Data Science

You’ve been slaving away for an innumerable number of hours trying to get your model just right. You’ve diligently cleaned your data, painstakingly engineered features, and tuned your hyperparameters…...

Packaging Your Code

The Hitchhiker's Guide to Python!

Packaging Your Code Package your code to share it with other developers. For example, to share a library for other developers to use in their application, or for development tools like ‘py.test’. An a...

Packages

Learn Java

Understanding Packages To make types easier to find and use, to avoid naming conflicts, and to control access, programmers bundle groups of related types into packages. Definition: A package is a gro...

Why Packaging your ML Code is Not as Painful as You Might Expect

Towards Data Science

How to transfer your machine learning code and its dependencies to your production environment. Continue reading on Towards Data Science

But What is a Model?

Towards Data Science

The term model gets thrown around a lot. The word is ubiquitous to the point of lost meaning. The Wikipedia page alone shows the variety of usage of the word model, including statistics, astronomy…

Model Cards

Kaggle Learn Courses

Introduction A **model card** is a short document that provides key information about a machine learning model. Model cards increase transparency by communicating information about trained models to ...

Blueprints

Explore Flask

What is a blueprint? A blueprint defines a collection of views, templates, static files and other elements that can be applied to an application. For example, let’s imagine that we have a blueprint f...

Package structure and distribution

Python Packages

Chapter 3: How to package a Python provided a practical overview of how to create, install, and distribute a Python package. This chapter now goes into more detail about what a Python package actuall...

Packaging using Conan

Software Architecture with C plus plus

We already showed how to install our dependencies using Conan. Now, let's dive into creating our own Conan packages. Let's create a new top-level directory in our project, simply named conan , where w...

Marketing Ideas For Your Package

R-bloggers

Now that you have created your package, presenting it to the world is a crucial step to gain visibility and attract users. Marketing your package effectively contributes to reaching the people your pa...

Packaging in Python: Tools and Formats

Towards Data Science

A virtual environment is an isolated Python environment. It has it’s own installed site-packages which can be different from the systems site-packages. Don’t worry, we will go into more detail later…

What it takes to deploy a model

Towards Data Science

So you (or your team) have spent several months juggling around notebooks with code. You’ve had sleepless nights wondering whether Word2Vec or BERT should be used for vectorizing your text inputs…

The Role of Artificial Intelligence in The Packaging Industry

Becoming Human: Artificial Intelligence Magazine

AI in PAckaging Artificial intelligence (AI) is a technology that can be used in many different industries to help businesses achieve their goals. For example, AI can be used to automate certain proce...

Where Should You Deploy Your Model?

Towards Data Science

You’ve gone through the effort in cleaning your data. You’ve engineered features, destroyed missing values, and created a model that is well-suited to predict your target. You are finally ready to…

Packages

Essential Java

Versions [{“Name”:“Java SE 1.2”,“GroupName”:null},{“Name”:“Java SE 1.3”,“GroupName”:null},{“Name”:“Java SE 1.4”,“GroupName”:null},{“Name”:“Java SE 5”,“GroupName”:null},{“Name”:“Java SE 6”,“GroupName”:...

Building Your Model Is Not Enough — You Need To Sell It

Towards Data Science

When I started in Data Science, my focus was primarily on improving technical skills like programming and model building. After a few years, my interest shifted towards model deployment and MLOps, lea...

How to Ship a Software Project

Better Programming

I’ve spent the last 14 years building software, off and on. Over that period I’ve been on the hook for dozens of ship dates. Some I missed. Many I hit. Through all those adventures, I’ve settled on a…...