Predict Output with CatBoost Model

This function uses a CatBoost model to predict the output for given data. It first loads a pre-trained model and then uses this model to predict the input data.

Technology Stack : CatBoost, NumPy

Code Type : Prediction function

Code Difficulty : Intermediate

                
                    
def predict_with_catboost(model, data):
    """
    This function uses a CatBoost model to predict the output for given data.
    """
    import numpy as np
    from catboost import CatBoostClassifier
    
    # Load the model from a file
    model = CatBoostClassifier.load_model('catboost_model.json')
    
    # Make predictions using the loaded model
    predictions = model.predict(data)
    
    return predictions