accelbrainbase.samplabledata.truesampler.labeledtruesampler package¶

Submodules¶

class accelbrainbase.samplabledata.truesampler.labeledtruesampler.conditional_labeled_true_sampler.ConditionalLabeledTrueSampler¶

The class to draw true conditional labeled samples from distributions.

References

Bousmalis, K., Silberman, N., Dohan, D., Erhan, D., & Krishnan, D. (2017). Unsupervised pixel-level domain adaptation with generative adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3722-3731).
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., … & Bengio, Y. (2014). Generative adversarial nets. In Advances in neural information processing systems (pp. 2672-2680).
Mirza, M., & Osindero, S. (2014). Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784.

draw()¶

Draw samples from distribtions.

Returns:	Tuple of `mx.nd.array`s.