ensembler.py 文件源码

def mae_loss_func(weights):
    ''' scipy minimize will pass the weights as a numpy array '''
    final_prediction = 0
    for weight, prediction in zip(weights, predictions):
            final_prediction += prediction * weight
    return mean_absolute_error(actual.loss, final_prediction)