niftynet.engine.sampler_random_vector module¶
Generating sample arrays from random distributions.
-
class
RandomVectorSampler
(names=('vector', ), vector_size=(100, ), batch_size=10, n_interpolations=10, mean=0.0, stddev=1.0, repeat=1, queue_length=10)[source]¶ Bases:
niftynet.layer.base_layer.Layer
,niftynet.engine.image_window_buffer.InputBatchQueueRunner
This class generates two samples from the standard normal distribution. These two samples are mixed with n mixing coefficients. The coefficients are generated by
np.linspace(0, 1, n_interpolations)