Updated README.md, few bug tweaks, adding regression_results.ipynb
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@@ -8,14 +8,6 @@ Run locally (from the repo root):
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or run this file directly (e.g. from the IDE):
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python api/museum_api.py
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Or with a DataFrame you already have in memory:
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from api.museum_api import create_app
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import uvicorn
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uvicorn.run(create_app(df), port=8000)
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Expected columns: Name, Visitors, City, Country, Population
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"""
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from __future__ import annotations
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@@ -252,7 +244,7 @@ def create_app(
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return [Prediction(population=p, predicted_visitors=float(v))
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for p, v in zip(req.populations, preds)]
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@app.get("data")
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@app.get("/data")
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def data():
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"""Every row the model was fitted on, with its prediction."""
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m = get_model()
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