pipeline_config

Provides the configuration for the pipeline.

class PipelineConfig(models: list[dict[str, object]], metrics: list[str], data: ~simba_ml.prediction.time_series.config.transfer_learning_pipeline.data_config.DataConfig, logging: ~simba_ml.prediction.logging.logging_config.LoggingConfig | None = None, plugins: list[str] = <factory>, seed: int = 42)

Bases: object

Config for the Pipeline.