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Building Components for Machine Learning Pipelines

1. Introduction

Introduction
Overview of the AI4EU Experiments Platform
Understanding Microservices
Creating a Pipeline
Creating a Component
Preparing the Environment

2. Beginning of creating a pipeline

First Steps in Creating a Machine Learning Pipeline
Stock Price Prediction Example Pipeline

3. Creating the services

Creating the Services and Testing
Conclusion

4. Communication using grpc and protobuffers

Introduction
Protocol Buffers
gRPC and Protocol Buffers
Configuring Components for gRPC Communication

5. Creating the web applications

Introduction
Creating the Web Applications

6. Containerization using Docker

Containerization
Containerizing our components

7. Deployment

Introduction to Kubernetes
Uploading your components to the AI on Demand platform
Deployment Using the AI on Demand Platform

8. Conclusion

Conclusion

Repository
Open issue

Index

By Lotta Hannelius

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