synapse-specialized-actionslisted

# Specialized Action Classes Synapse SDK provides specialized base classes for common ML workflows. Each extends `BaseAction` with workflow-specific helper methods and default settings. ## Available Specialized Actions | Class | Category | Purpose | |-------|----------|---------| | `BaseTrainAction` | `NEURAL_NET` | Training models | | `BaseExportAction` | `EXPORT` | Exporting data | | `BaseUploadAction` | `UPLOAD` | Uploading files | | `BaseInferenceAction` | `NEURAL_NET` | Running inference | | `BaseDeploymentAction` | - | Ray Serve deployment | | `AddTaskDataAction` | `PRE_ANNOTATION` | Pre-annotation workflows | ## Quick Comparison ```python # Training - autolog, get_dataset, create_model class TrainAction(BaseTrainAction[TrainParams]): def execute(self) -> dict: self.autolog('ultralytics') # Auto-log metrics dataset = self.get_dataset() # ... train ... return self.create_model('./model.pt') # Export - get_filtered_results class ExportAction(BaseExportAction[ExportParams]): def get_filtered_results(self, filters: dict) -> tuple[Any, int]: return self.client.get_assignments(filters) # Upload - step-based workflow required class UploadAction(BaseUploadAction[UploadParams]): def setup_steps(self, registry: StepRegistry[UploadContext]) -> None: registry.register(InitStep()) registry.register(UploadFilesStep()) # Inference - download_model, load_model, infer class InferAction(BaseInferenceAction[Infer