Chapters

The proposed experience

HephIA product ambition is to allow to any user to easily build nested unsupervised learning data pipeline through our python API whilst being able to set execution environment to run existing and new pipelines. All generated results and inputs will be stored and accessible through our python API (UI later). They could be reused in other processing pipelines or visualized if their it exists a type matching with our visualizations.

Overview

Chapters list :

• Core concepts : Establish a common referential to facilitate learning process.
• Algorithms : It gathers materials for every HephIA features.
• Pipelines : explains how end users can build their own pipeline by combining accordingly those presented in Algorithm chapter.
• Installation : The how-to of how install and apply the HephIA product // Look for a more meaningful word.
• Toy examples : Various interactive examples exposing how the API works from simplest to trickiest ones. // Look for a more meaningful word