Kohdefunktio

Kohdefunktio is a term used in optimization and machine learning to describe a function that is to be minimized or maximized. In the context of optimization problems, the kohdefunktio represents the objective that the algorithm aims to achieve. For instance, in a regression problem, the kohdefunktio might be the sum of squared errors between predicted and actual values. The goal would then be to find the model parameters that minimize this kohdefunktio.

In machine learning, the kohdefunktio is often referred to as a loss function or cost function when the objective is minimization, or a reward function when the objective is maximization, particularly in reinforcement learning. The process of training a machine learning model often involves iteratively adjusting the model's parameters to reduce the value of the kohdefunktio. Various optimization algorithms, such as gradient descent, are employed to efficiently search for the optimal parameters that yield the minimum (or maximum) value of the kohdefunktio. The choice of an appropriate kohdefunktio is crucial as it directly dictates what the model learns and how its performance is evaluated.