Bug fixes and features

• Improve and fix bug with binary accuracy, precision, recall
• Metrics arithmetics
• ParamScheduler to support multiple optimizers/multiple parameter groups

Thanks to all our contributors !

New features and bug fixes

What's new in this release:

• Contrib module with
  • Parameter schedule
  • TQDM ProgressBar
  • ROC/AUC, AP, MaxAE metrics
  • TBPTT Engine
• New handlers:
  • Terminate on Nan
• New metrics:
  • RunningAverage
  • Merged Categorical/Binary -> Accuracy
• Refactor of examples
• New examples:
  • Fast Neural Style
  • RL

Thanks to all our contributors !

First release

Introduced Engine, Handlers and Metrics.

Metrics:

• BinaryAccuracy
• CategoricalAccuracy
• Loss
• Precision
• Recall
• etc

Handlers:

• ModelCheckpoint
• EarlyStopping
• Timer

Features:

• PyTorch 0.4 support

Examples:

• mnist.py
• mnist_with_tensorboardx.py
• mnist_with_visdom.py
• dcgan.py