Add interactive webapp demo for GlassBoxML algorithms#8
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Iskken
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Jul 8, 2026
Iskken
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- FastAPI server (webapp/app.py) with GET / and POST /run endpoints
- Single-page HTML frontend (webapp/static/index.html) using Chart.js: scatter + regression line for LinearRegression, scatter + decision boundary for LogisticRegression, scatter by class for DecisionTree
- webapp/requirements.txt (fastapi, uvicorn)
- Add DecisionTree.predict(X) convenience method; also convert split() return values to numpy arrays so downstream code gets consistent types
- FastAPI server (webapp/app.py) with GET / and POST /run endpoints - Single-page HTML frontend (webapp/static/index.html) using Chart.js: scatter + regression line for LinearRegression, scatter + decision boundary for LogisticRegression, scatter by class for DecisionTree - webapp/requirements.txt (fastapi, uvicorn) - Add DecisionTree.predict(X) convenience method; also convert split() return values to numpy arrays so downstream code gets consistent types Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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