ashpy.metrics¶
Collection of Metrics.
Metric
Metric is the abstract class that every ash Metric must implement. |
Classifier
A handy way to measure the classification loss. |
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Wrap a metric using argmax to extract predictions out of a classifier’s output. |
GAN
The Discriminator loss value. |
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Generator loss value. |
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Encoder Loss value. |
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Inception Score Metric. |
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Generator and Encoder accuracy performance. |
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Sliced Wasserstein Distance. |
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Multiscale Structural Similarity. |
Modules
The classification metrics. |
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GAN metrics. |
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Metric is the abstract class that every ash metric must implement. |
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Sliced Wasserstein Distance metric. |
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Multiscale Structural Similarity metric. |