Answer
Use pickle or joblib for serialization.
Framework-specific save/load for deep learning.
Allows reuse without retraining.
Framework-specific save/load for deep learning.
Allows reuse without retraining.
Quick Answer
Save ML models: joblib.dump(model, "model.pkl") and joblib.load() for scikit-learn (handles NumPy arrays efficiently). pickle.dump() works too but joblib is preferred for large models. TensorFlow: model.save("model_dir") - SavedModel format. PyTorch: torch.save(model.state_dict(), "model.pth") and model.load_state_dict(torch.load()). For production: ONNX format for cross-framework deployment.
S
SugharaIQ Editorial Team
Verified Answer
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Source: SugharaIQ