Lpd

Latest version: v0.4.12

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0.4.12

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* ThresholdChecker is updated to compute improvement according to last improved step and not to the best received metric

0.4.11

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* Dense custom layer to support apply norm (configurable to before or after activation)
* StatsPrint callback to support printing best confusion matrix when at least one of the metrics is of type ``MetricConfusionMatrixBase``
* Some minor cosmetic changes

0.4.10

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* TransformerEncoderStack to support activation as input
* PositionalEncoding to support more than 3 dimensions input

0.4.9

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* Added assert to Attention class (from extensions) when mask is used
* Fixed confusion matrix cpu/gpu device error
* Better handling on callbacks where apply_on_states=None (apply on all states)
* Updated Pipfile

0.4.8

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* Added AbsoluteThresholdChecker & RelativeThresholdChecker classes
* ThresholdCheckers can now be used in CallbackMonitor to better define metric tracking

0.4.7

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* Bug fix in case validation samples are empty

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