haipipe-nn-0-overview

What problem does it solve?

This Skill provides a comprehensive overview and decision-making guide for the Neural Network (NN) pipeline, simplifying the process of understanding its architecture, integrating new models, and navigating the existing model registry.

Core Features & Use Cases

• Architecture Visualization: Understand the 4-layer separation (Algorithm, Tuner, Instance, ModelSet) crucial for development.
• Decision Guidance: Follow a clear decision tree for integrating new algorithms based on data format, tuner needs, and serialization.
• Model Registry & Templates: Access a complete list of registered models and YAML configuration templates for various use cases like time-series forecasting and treatment effect estimation.
• Use Case: A data scientist needs to add a new custom forecasting model to the pipeline. They can use this Skill to understand the required structure, follow the checklist for creating the Tuner and Instance layers, and then use the provided YAML template to configure and run the new model through the pipeline.

Quick Start

Use the haipipe-nn-0-overview skill to understand the 4-layer architecture of the NN pipeline.