ADLStream.data.preprocessing.BasePreprocessor

Abstract Base Preprocessor

This is the base class for implementing a preprocessor object.

Every Preprocessor have two main function: learn_one and transform_one.

Every Preprocessor must implement transform_one and, if needed, learn_one with the signatures x' = transform_one(x) and updated_preprocessor = learn_one(x).

Examples:

    class Squared(BasePreprocessor):

        def transform_one(self, x):
            ans = [e*e for e in x]
            return ans

Source code in ADLStream/data/preprocessing/base_preprocessor.py

class BasePreprocessor(ABC):
    """Abstract Base Preprocessor

    This is the base class for implementing a preprocessor object.

    Every `Preprocessor` have two main function:
    `learn_one` and `transform_one`.

    Every `Preprocessor` must implement `transform_one` and, if needed, `learn_one` with
    the signatures `x' = transform_one(x)` and `updated_preprocessor = learn_one(x)`.

    Examples:
    ```python
        class Squared(BasePreprocessor):

            def transform_one(self, x):
                ans = [e*e for e in x]
                return ans
    ```
    """

    def learn_one(self, x):
        """Updates inner parameters if needed.

        Args:
            x (list): input data from stream generator.

        Returns:
            BasePreprocessor: self updated object.
        """
        return self

    @abstractmethod
    def transform_one(self, x):
        """Transforms one instance data

        Args:
            x (list): input data from stream generator.

        Returns:
            x' (list): transformed input data.

        Raises:
            NotImplementedError: Child class must implement this funtion.
        """
        raise NotImplementedError

learn_one(self, x)

Updates inner parameters if needed.

Parameters:

Name	Type	Description	Default
x	list	input data from stream generator.	required

Returns:

Type	Description
BasePreprocessor	self updated object.

Source code in ADLStream/data/preprocessing/base_preprocessor.py

def learn_one(self, x):
    """Updates inner parameters if needed.

    Args:
        x (list): input data from stream generator.

    Returns:
        BasePreprocessor: self updated object.
    """
    return self

transform_one(self, x)

Transforms one instance data

Parameters:

Name	Type	Description	Default
x	list	input data from stream generator.	required

Returns:

Type	Description
x' (list)	transformed input data.

Exceptions:

Type	Description
NotImplementedError	Child class must implement this funtion.

Source code in ADLStream/data/preprocessing/base_preprocessor.py

@abstractmethod
def transform_one(self, x):
    """Transforms one instance data

    Args:
        x (list): input data from stream generator.

    Returns:
        x' (list): transformed input data.

    Raises:
        NotImplementedError: Child class must implement this funtion.
    """
    raise NotImplementedError