dashai-frankenstein

A DashAI plugin that registers Frankenstein Transformer model classes as DashAI components, so end users can train, evaluate, predict, save, and load them from the DashAI UI.

Components registered

Schema (v1: passthrough YAML)

Each model exposes a minimal pydantic schema. The primary field, frankenstein_yaml, is a string containing a full Frankenstein training YAML, validated by Frankenstein's own config loader + JSON Schema (the Frankenstein schema remains the single source of truth). A preset dropdown is populated from Frankenstein's bundled configs/*.yaml; device, batch_size, and num_epochs are convenience overrides merged into the YAML before validation.

Install

pip install dashai-frankenstein            # from PyPI once published
# or, from this repo:
pip install -e ./dashai-frankenstein

DashAI discovers the plugin via the dashai.plugins entry-points group on startup — no DashAI source edits required.

Architecture

See docs/dashai-plugin-audit.md in the Frankenstein repo for the full integration design (§5 component designs, §6 phased plan, §7 Frankenstein changes). This package is the Phase 1–3 adapter layer; it consumes the Frankenstein engine API (src.engine) added in Phase 0.