Deep learning for NeuroImaging in Python.

Note

This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the gallery for the big picture.

class surfify.datasets._samples_generator.ClassificationDataset(ico_vertices, n_samples=40, n_classes=2, scale=1, seed=None)[source]¶

Generate a random n-class classification dataset.

Init ClassificationDataset.

Parameters:

ico_vertices : array (N, 3)

the icosahedron’s vertices.

n_samples : int, default 40

the number of gene rate samples.

n_classes : int, default 2

the number of classes.

scale : int or list of int, default 1

the scale of each Gaussian.

seed : int, default None

seed to control random number generation.