Project 17 | Original skin locked | Upstream enhanced V9

MODELFORGE
COMMAND.

Machine learning workbench upgraded with scikit-learn-style estimators, pipeline, split, scoring, confusion matrix, and export workflow. Desain luar tetap dari file awal V7; upstream hanya masuk sebagai mesin fitur, adapter, analytics, dan workflow di dalam wadah yang sama.

Launch workspace View pairing

V9Original skin

PWAInstallable

LOCALPrivacy first

CFDirect upload

Interactive workspace

ModelForge ML Workbench

Workspace ini berjalan 100% di browser, offline-capable, tanpa backend wajib, dan siap dihubungkan ke adapter upstream bila dibutuhkan.

SYSTEM

Architecture

Original skin. Strong engine.

Lapisan tampilan tetap V7, sedangkan domain logic V9 menambahkan workflow modern, simulasi deterministik, import/export, audit, dan kontrak adapter.

UI LayerOriginal responsive visual system from uploaded V7 shell.

Domain Layerscikit-learn-style browser engine and workflow.

Adapter LayerStatic contract for a real backend or upstream runtime.

Storage LayerLocalStorage, JSON/CSV export, offline cache and PWA shell.

Selected upstream

scikit-learn/scikit-learn

SHA-256, README excerpt, license evidence, file snapshot, and adapter blueprint are included under integration and developer-source.

Original project retained

The uploaded V7 shell remains the visual foundation. Existing source evidence stays under developer-source/original-project.zip when present.

Upstream engine

The upstream archive supplied in Upload.zip was fingerprinted and converted into a Cloudflare-safe integration contract.

Official repository

Cloudflare Pages

Direct upload.

Upload this individual ZIP as prebuilt assets. No build command, Worker, proxy or server origin is required.

01 Upload

index.html is directly at archive root.

02 Verify

Open /health.txt and then the main page.

03 Extend

Connect a backend only after the static shell works.

MODELFORGECOMMAND.