NumPyDiscriminator

class NumPyDiscriminator(n_features=1, n_out=1)

Bases: qiskit.aqua.components.neural_networks.discriminative_network.DiscriminativeNetwork

Discriminator based on NumPy

Parameters

• n_features (int) – Dimension of input data vector.

• n_out (int) – Dimension of the discriminator’s output vector.

Methods

get_label	Get data sample labels, i.e. true or fake.
load_model	Load discriminator model
loss	Loss function :param x: sample label (equivalent to discriminator output) :type x: numpy.ndarray :param y: target label :type y: numpy.ndarray :param weights: customized scaling for each sample (optional) :type weights: numpy.ndarray
save_model	Save discriminator model
set_seed	Set seed.
train	Perform one training step w.r.t to the discriminator’s parameters

Attributes

discriminator_net

Get discriminator

Returns

discriminator object

Return type

DiscriminatorNet