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Learn FastAPI quickly
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Module 8
Serving a Machine Learning Model
1
Loading Scikit-learn Models in FastAPI Startup
Load a pre-trained scikit-learn model into memory when the FastAPI application starts
2
Pydantic Schemas for ML Model I/O
Define Pydantic schemas for the ML model's input features and prediction output
Pydantic-Validated Prediction Endpoint
Create a prediction endpoint that accepts input data conforming to the Pydantic schema
4
Endpoint Prediction
Perform model inference within the endpoint and return the prediction
5
Pydantic Validation for ML Endpoints
Add custom input validation to the ML prediction endpoint using Pydantic validators
6
Robust Error Handling for Model Inference
Implement specific error handling for exceptions that may occur during model inference
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