v1.2

API Updates:

• Add class index control for metrics.BinaryConfusionMetric
• Add EPOCH_START and BATCH_START to torchmanager_core.protocols.Frequency
• Add number of workers support for data.Dataset
• Add return_summary parameter for fit method to return training summary after training finished
• Basic configurations implementation with configs.Configs class
• Change metrics.ConfusionMetrics to abstract class
• Deprecated train package
• Implements losses.MAE, metrics.FeatureMetric, metrics.ExtractorScore, metrics.FID, metrics.F1, metrics.Precision, metrics.Recall, metrics.SSIM, metrics.Dice and metrics.PartialDice, scipy package is required for FID
• Introducing backward, forward function to do backward propagation and forward pass in Manager
• Introducing configs package
• Introducing random package with freezing/unfreezing random seeds
• Introducing a new version convert mechanism using torchmanager_core.protocols.VersionConvertible protocol
• Introducing data_parallel and reset method in Manager for multi-GPUs control
• Use forward method to calculate TP, FP, and FN and further calculate metric in forward_metric method in metrics.BinaryConfusionMetric

Other updates:

• Enables update on batch or epoch start for callbacks.FrequencyCallback
• Improved Exception handling during prediction
• Minor bugs fixed
• Removed deprecated methods