transfer_learning_pipeline

Provides the configurations for the synthetic data pipeline.

class DataConfig(observed: str, synthetic: str, test_split: float = 0.2, split_axis: str = 'vertical', time_series: ~simba_ml.prediction.time_series.config.time_series_config.TimeSeriesConfig = <factory>)

Bases: object

Config for time-series data.

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

Bases: object

Config for the Pipeline.

simba_ml.prediction.time_series.config.transfer_learning_pipeline.transfer_learning_data_config	Provides the configuration for the data.
simba_ml.prediction.time_series.config.transfer_learning_pipeline.transfer_learning_pipeline_config	Provides the configuration for the pipeline.