CatBoostClassifier Prediction Function

This function uses the predict method of CatBoostClassifier to predict the labels for the given data. It first checks if the provided model is an instance of CatBoostClassifier, and then uses the model to predict the labels for the data.

Technology Stack : CatBoost, NumPy

Code Type : Custom function

Code Difficulty : Intermediate

                
                    
def predict_with_catboost(model, data):
    # This function uses CatBoost's predict method to predict the labels for given data
    import numpy as np
    from catboost import CatBoostClassifier

    # Ensure the model is a CatBoostClassifier
    if not isinstance(model, CatBoostClassifier):
        raise ValueError("The model must be an instance of CatBoostClassifier")

    # Predict the labels using the model
    predictions = model.predict(data)

    return predictions