PyTorchLightning/lightning-flash: PyTorch Tabular, Enhanced Data Loading and Stability

[0.7.0] - 2022-15-02 Added

• Added support for multi-label, space delimited, targets (#1076)
• Added support for tabular classification / regression backbones from PyTorch Tabular (#1098)
• Added Flash zero support for tabular regression (#1098)
• Added support for COCO annotations with non-default keypoint labels to KeypointDetectionData.from_coco (#1102)
• Added support for from_csv and from_data_frame to VideoClassificationData (#1117)
• Added support for SemanticSegmentationData.from_folders where mask files have different extensions to the image files (#1130)
• Added FlashRegistry of Available Heads for flash.image.ImageClassifier (#1152)
• Added support for ObjectDetectionData.from_files (#1154)
• Added support for passing the Output object (or a string e.g. "labels") to the flash.Trainer.predict method (#1157)
• Added support for passing the TargetFormatter object to from_* methods for classification to override target handling (#1171)

• Changed Wav2Vec2Processor to AutoProcessor and seperate it from backbone [optional] (#1075)
• Renamed ClassificationInput to ClassificationInputMixin (#1116)
• Changed the default learning_rate for all tasks to be None, corresponding to the default for your chosen optimizer (#1172)

• Fixed a bug when not explicitly passing embedding_sizes to the TabularClassifier and TabularRegressor tasks (#1067)
• Fixed a bug where under some circumstances transforms would not get called (#1072)
• Fixed a bug where prediction would sometimes give the wrong number of outputs (#1077)
• Fixed a bug where passing the val_split to the DataModule would not have the desired effect (#1079)
• Fixed a bug where passing predict_data_frame to ImageClassificationData.from_data_frame raised an error (#1088)
• Fixed a bug where segmentation files / masks were loaded with an inconsistent ordering (#1094)
• Fixed a bug with AudioClassificationData.from_numpy (#1096)
• Fixed a bug when using SpeechRecognitionData.from_files for training / validating / testing (#1097)
• Fixed a bug when using SpeechRecognitionData.from_csv or from_json when predicting without targets (#1097)
• Fixed a bug where SpeechRecognitionData.from_datasets did not work as expected (#1097)
• Fixed a bug where loading data for prediction with SemanticSegmentationData.from_folders raised an error (#1101)
• Fixed a bug when passing a predict_folder argument to from_coco / from_voc / from_via in IceVision tasks (#1102)
• Fixed ObjectDetectionData.from_voc and ObjectDetectionData.from_via (#1102)
• Fixed a bug where InstanceSegmentationData.from_coco would raise an error if not using file-based masks (#1102)
• Fixed InstanceSegmentationData.from_voc (#1102)
• Fixed a bug when loading tabular data for prediction without a target field / column (#1114)
• Fixed a bug when loading prediction data for graph classification without targets (#1121)
• Fixed a bug where loading Seq2Seq data for prediction would not work if the target field was not present (#1128)
• Fixed a bug where from_fiftyone classmethods did not work correctly with a predict_dataset (#1136)
• Fixed a bug where the labels property would return None when using ObjectDetectionData.from_fiftyone (#1136)
• Fixed a bug where TabularData would not work correctly with no categorical variables (#1144)
• Fixed a bug where loading TabularForecastingData for prediction would only yield a single sample per series (#1149)
• Fixed a bug where backbones for the ObjectDetector, KeypointDetector, and InstanceSegmentation tasks were not always frozen correctly when finetuning (#1163)
• Fixed a bug where DataModule.multi_label would sometimes be None when it had been inferred to be False (#1165)

• Removed the Seq2SeqData base class (use TranslationData or SummarizationData directly) (#1128)
• Removed the ability to attach the Output object directly to the model (#1157)

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