ashpy.metrics

Collection of Metrics.

Metric

metric.Metric

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

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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.

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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.

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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.