| from sklearn.ensemble import RandomForestClassifier | |
| import joblib | |
| # Create dummy model | |
| model = RandomForestClassifier() | |
| model.fit([[0], [1], [2]], [0, 1, 0]) # Minimal training | |
| # Save model | |
| joblib.dump(model, 'model.joblib') |
| from sklearn.ensemble import RandomForestClassifier | |
| import joblib | |
| # Create dummy model | |
| model = RandomForestClassifier() | |
| model.fit([[0], [1], [2]], [0, 1, 0]) # Minimal training | |
| # Save model | |
| joblib.dump(model, 'model.joblib') |