config

Provides the configurations for the pipeline.

class DataConfig(synthetic: str, time_series: TimeSeriesConfig, test_split: float = 0.2, split_axis: str = 'vertical', input_features: list[str] | None = None, output_features: list[str] | None = None, export_path: str | None = None)

Bases: object

Config for time-series data.

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

Bases: object

Config for the Pipeline.

simba_ml.prediction.time_series.config.mixed_data_pipeline	Provides the configurations for the mixed data pipeline.
simba_ml.prediction.time_series.config.synthetic_data_pipeline	Provides the configurations for the synthetic data pipeline.
simba_ml.prediction.time_series.config.time_series_config	Provides the configuration for logging.
simba_ml.prediction.time_series.config.transfer_learning_pipeline	Provides the configurations for the synthetic data pipeline.