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Variables

  • StateRegistry: State configurations for the meta model state registry.
  • TrainTestRegistry: Train/test stats configurations.

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StateConfig

StateConfig(
    title: str,
    features: str,
    model_func: Callable,
    model_params: Dict[str, Any] = _Nothing.NOTHING,
    preprocess_func: Callable = None,
)
Configuration for a state. If also handle computing features from a data object. Method generated by attrs for class StateConfig.

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Instance variables

  • features: str: Features to be used for the state, can be a single feature or a list of features.
  • model_func: Callable: Function to compute the state from the features. It should accept a 2D array and return a scalar value.
  • model_params: Dict[str, Any]: Additional parameters for the model function, if any.
  • preprocess_func: Callable: Function to preprocess the features before applying the model function. It should accept a 2D array and return a 2D array.
  • title: str: Title of the method used to calculate the state.