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 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 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 Removed the Seq2SeqData base class (use TranslationData or SummarizationData directly) (#1128) Removed the ability to attach the Output object directly to the model (#1157) Contributors @Actis92 @AjinkyaIndulkar @bartonp2 @Borda @daMichaelB @ethanwharris @flozi00 @karthikrangasai @MikeTrizna If we forgot someone due to not matching commit email with GitHub account, let us know :