OneHotObjectiveFunction¶
- class OneHotObjectiveFunction(X, y, neural_network, loss)[source]¶
Bases:
qiskit_machine_learning.algorithms.objective_functions.ObjectiveFunction
An objective function for one hot encoding representation of the output, e.g. classes like
[1, 0, 0]
,[0, 1, 0]
,[0, 0, 1]
.- Parameters
X (
ndarray
) – The input data.y (
ndarray
) – The target values.neural_network (
NeuralNetwork
) – An instance of an quantum neural network to be used by this objective function.loss (
Loss
) – A target loss function to be used in training.
Methods
gradient
(weights)Computes gradients of this objective function given weights.
objective
(weights)Computes the value of this objective function given weights.