Evaluation¶
- class gmmvi.experiments.evaluation.mmd.MMD(groundtruth, alpha)[source]¶
This class can be used for computing the Maximum Mean Discrepancy [GBR+12]. The MMD can be used to compute the discrepancy between a model sample and a groundtruth sample.
Note that instantiating this object can be quite slow, but computing the MMD using
compute_MMD
should be fast.- Parameters:
groundtruth – tf.Tensor The groundtruth sample of shape number_of_samples x dimension
alpha – tf.float32 A factor for scaling the diagonal bandwidth matrix (which is automatically chosen based on the groundtruth sample using the Median trick [GBR+12]).
- compute_MMD(model_sample)[source]¶
Compute the MMD between the model_sample and the groundtruth data that was provided when instantiating this object.
- Parameters:
model_sample – tf.Tensor The sample from the model of shape number_of_samples x dimension
- Returns:
The MMD between model sample and groundtruth sample
- Return type: