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InputConversion

Bases: Generic[FT, PT], ABC

The input conversion for a neural network, defines the input parameters for the neural network.

Source code in src/safeds/ml/nn/_input_conversion.py 
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class InputConversion(Generic[FT, PT], ABC):
    """The input conversion for a neural network, defines the input parameters for the neural network."""

    @property
    @abstractmethod
    def _data_size(self) -> int | ImageSize:
        pass  # pragma: no cover

    @abstractmethod
    def _data_conversion_fit(
        self,
        input_data: FT,
        batch_size: int,
        num_of_classes: int = 1,
    ) -> DataLoader | ImageDataset:
        pass  # pragma: no cover

    @abstractmethod
    def _data_conversion_predict(self, input_data: PT, batch_size: int) -> DataLoader | _SingleSizeImageList:
        pass  # pragma: no cover

    @abstractmethod
    def _is_fit_data_valid(self, input_data: FT) -> bool:
        pass  # pragma: no cover

    @abstractmethod
    def _is_predict_data_valid(self, input_data: PT) -> bool:
        pass  # pragma: no cover

    @abstractmethod
    def _get_output_configuration(self) -> dict[str, Any]:
        pass  # pragma: no cover