Dependancy upgrades-update on pickle model-cython code updates-error-handling #11
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| </div> | ||
| <br> | ||
| <p>©2021 VAIBHAV BICHAVE</p> | ||
| <p>©2024 TIM</p> |
| if not hasattr(gbc, 'predict'): | ||
| raise ValueError("Loaded object is not a valid model.") | ||
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| y_pred = gbc.predict(x)[0] |
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| features = obj.getFeaturesList() | ||
| x = np.array(features).reshape(1, -1) # Adjust reshape if needed |
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x = np.array(obj.getFeaturesList()).reshape(1, -1)
| @@ -0,0 +1,55 @@ | |||
| # trin.py | |||
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File Name should be train.py ?
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| csv_file = 'phishing.csv' | ||
| df = load_data(csv_file) |
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df = load_data('phishing.csv')
| def train_model(X_train, y_train): | ||
| """Train a RandomForestClassifier model.""" | ||
| model = RandomForestClassifier(n_estimators=100, random_state=42) | ||
| model.fit(X_train, y_train) |
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Can we use'Gradient Boosting Classifier' instead of 'RandomForestClassifier'
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