v0.7.1 - All your batch are belong to us - Micro Update

v0.7.1

Important changes

• EvalMetrics revised to inherit from Callback and be called on validation data after every epoch. User-written EvalMetrics willneed to be adjusted to work with the new calling method: adjust evaluate method and constructor may need to be adjusted; see existing metrics to see how.

Breaking

• eval_metrics argument in train_models renamed to metric_partials and now takes a list of partial EvalMetrics
• User-written EvalMetrics will need to be adjusted to work with the new calling method: adjust evaluate method and constructor may need to be adjusted; see existing metrics to see how.

Additions

• OneCycle now has a cycle_ends_training which allows training to continue at the final LR and Momentum. keeping at default of True ends the training once the cycle is complete, as usual.
• to_np now returns None when input tensor is None
• plot_train_history now plots metric evolution for validation data

Removals

Fixes

• Model now creates cb_savepath is it didn't already exist
• Bug in PredHandler where predictions were kept on device leading to increased memory usage
• Version issue in matplotlib affecting plot positioning

Changes

Depreciations

• V0.8:
  • All EvalMetrics depreciated with metric system. They have been copied and renamed to Old* for compatibility with the old model training system.
  • OldEvalMetric: Replaced by EvalMetric
  • OldMultiAMS: Replaced by MultiAMS
  • OldAMS: Replaced by AMS
  • OldRegPull: Replaced by RegPull
  • OldRegAsProxyPull: Replaced by RegAsProxyPull
  • OldRocAucScore: Replaced by RocAucScore
  • OldBinaryAccuracy: Replaced by BinaryAccuracy

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