OneHotObjectiveFunction

class OneHotObjectiveFunction(X, y, neural_network, loss)

ベースクラス: ObjectiveFunction

An objective function for one hot encoding representation of the output. For instance, classes like [1, 0, 0], [0, 1, 0], [0, 0, 1].

パラメータ:

• 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.

パラメータ:

weights (ndarray) – an array of weights to be used in the objective function.

戻り値:

Gradients of the function.

戻り値の型:

ndarray

objective(weights)

Computes the value of this objective function given weights.

パラメータ:

weights (ndarray) – an array of weights to be used in the objective function.

戻り値:

Value of the function.

戻り値の型:

float