InputML

class aixd.data.InputML(name: str = 'inputML', transformation: DataBlockTransformation | None = None, **kwargs)

Bases: TransformableDataBlock

A special data block used for the input of the ML model.

Parameters:

• name (str, optional) – The name of the data block.

• normalization_class (DataBlockTransformation, optional) – The per data block normalization.

• kwargs – Arguments passed to super().__init__(…).

Inherited Methods

check_data_consistency	Checks the data consistency.
get_cols_dobjs	In this case, the attributes can be either names of dimensions, or names of full data objects, and we need to return the precise column names that correspond to the attributes.
get_data_mat	Returns the data belonging to the requested DataObject's, as a single data matrix.
get_data_mat_dtypes	Returns the data types of the columns of the data matrix for the requested DataObject's.
get_data_mats	Returns the data belonging to the requested DataObject's, as a list of data matrices.
get_dobj_dimensions	Returns the dimensions of the data objects.
get_dobjs	Returns the data objects.
info_dobj	Returns information of all the DataObject's of the DataBlock.
inverse_transform	Inverse transforms the data matrix.
print_objects	Prints the names of the DataObject's.
print_transf	Prints the applied transformations for the DataBlock.
read	Internal function for saving.
to_data_block	Converts a transformable data block to back to an ordinary data block.
transform	Transforms the data matrix.
transformation_is_fitted	Returns True if the normalization is fitted.
update_obj	Updates the DataObject instance according to the passed data (e.g., changing its domain or type)
update_position_indices	Updates the position and position_index attributes of the DataObject's.
write	Internal function for writing.