CatBoost Model Prediction Function

This function uses the predict method from the CatBoost library to make predictions on input data. It accepts a trained CatBoost model and a dataset (which can be a numpy array or a pandas DataFrame), and then returns the predicted results.

Technology Stack : CatBoost, NumPy, Pandas

Code Type : Prediction function

Code Difficulty : Intermediate

                
                    
def predict_with_catboost(model, data):
    import numpy as np
    import catboost as cb

    # Assuming model is a trained CatBoost model and data is a numpy array or pandas DataFrame
    predictions = model.predict(data)
    return predictions