brainspy.utils.performance.accuracy

File for training a perceptron after the signal of a Processor class or one of its children.

Functions

evaluate_accuracy(inputs, targets, node)	To evaluate the accuracy of the Perceptron algorithm on the input data ( which is the outut of the DNPU or DNPU architecture ) based on the inputs and target values provided.
get_accuracy(inputs, targets[, configs, node])	To calculate the accuracy of the device on a binary classification task.
get_default_node_configs()	To get a default configuration of the node of a perceptron.
init_results(inputs, targets, configs)	To initialize the results of the accuracy test and the results of the Perceptron algorithm.
plot_perceptron(results[, save_dir, ...])	Plot the results of the perceptron algorithm.
train_perceptron(epochs, dataloader, optimizer)	To train the Perceptron obtain a set of weights w that accurately classifies each instance in our training set.
zscore_norm(inputs[, eps])	To calculate the standard normal distribution from the input data.