salmon.triplets.samplers.SOE

class salmon.triplets.samplers.SOE(**kwargs)

The soft ordinal embedding detailed by Terada et al. [1]

This is evaluated as “SOE” by Vankadara et al., [2] in which they use the hinge loss on the distances (not squared distances).

References

1

Terada, Y. & Luxburg, U.. (2014). Local Ordinal Embedding. Proceedings of the 31st International Conference on Machine Learning, in PMLR 32(2):847-855. http://proceedings.mlr.press/v32/terada14.html

2

Vankadara, L. C., Haghiri, S., Lohaus, M., Wahab, F. U., & von Luxburg, U. (2019). Insights into Ordinal Embedding Algorithms: A Systematic Evaluation. https://arxiv.org/abs/1912.01666

__init__(**kwargs)

Parameters

kwargsdict

Keyword arguments to pass to Adaptive.