kraken.ketos has no .train or .segtrain attributes in Kraken 7 — both are only exposed as CLI commands. Rewrites both training functions to invoke `ketos train` / `ketos segtrain` via subprocess and parse the best val_metric from checkpoint filenames. Also fixes the OcrTrainingCard history so it only shows non-blla runs (recognition model), matching SegmentationTrainingCard which already filtered to blla-only. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
sv
Everything you need to build a Svelte project, powered by sv.
Creating a project
If you're seeing this, you've probably already done this step. Congrats!
# create a new project in the current directory
npx sv create
# create a new project in my-app
npx sv create my-app
Developing
Once you've created a project and installed dependencies with npm install (or pnpm install or yarn), start a development server:
npm run dev
# or start the server and open the app in a new browser tab
npm run dev -- --open
Building
To create a production version of your app:
npm run build
You can preview the production build with npm run preview.
To deploy your app, you may need to install an adapter for your target environment.