ashpy.metrics¶

Collection of Metrics.

Metric

metric.Metric

Metric is the abstract class that every ash Metric must implement.


Classifier

classifier.ClassifierLoss

A handy way to measure the classification loss.

classifier.ClassifierMetric

Wrap a metric using argmax to extract predictions out of a classifier’s output.


GAN

gan.DiscriminatorLoss

The Discriminator loss value.

gan.GeneratorLoss

Generator loss value.

gan.EncoderLoss

Encoder Loss value.

gan.InceptionScore

Inception Score Metric.

gan.EncodingAccuracy

Generator and Encoder accuracy performance.

sliced_wasserstein_metric.SlicedWassersteinDistance

Sliced Wasserstein Distance.

ssim_multiscale.SSIM_Multiscale

Multiscale Structural Similarity.


Modules

classifier

The classification metrics.

gan

GAN metrics.

metric

Metric is the abstract class that every ash metric must implement.

sliced_wasserstein_metric

Sliced Wasserstein Distance metric.

ssim_multiscale

Multiscale Structural Similarity metric.