DataDiscrete

class aixd.data.DataDiscrete(*args, **kwargs)[source]

Bases: DataObject

Base class for the discrete type.

Methods

`is_data_transformed`	Simple heuristic to determine if the data is transformed.
`plot_distrib`	Plots the distribution of the passed data as a Barplot.

Inherited Methods

`append_transformation`	Adds the transformation at the end.
`check_data_consistency`	Check if the data is consistent with the defined domain.
`copy`	Returns a copy of the data object.
`get_activation_outhead`	Returns the activation function for approximating this feature.
`get_loss_evaluation`	Returns the evaluation loss function for this feature.
`get_ml_heads`	Returns two ML heads necessary for encoding and decoding the given data object.
`get_objective`	Returns the loss function for approximating this feature.
`grid_samples`	Returns grid samples from the domain of the data object.
`has_name`	Returns if the passed name match with the name of the DataObject.
`inverse_transform`	Inverse transformation of the data matrix according to specification DataObject.transformations.
`prepend_transformation`	Adds the transformation at the start.
`print_transf_norm`	Prints an overview of the defined transformations.
`random_samples`	Returns random samples from the domain of the data object.
`sample_around`	Returns samples from the domain of the data object around the given centroid.
`transform`	Transforms the data matrix according to specification DataObject.transformations.
`transform_is_fitted`	Check if all transformations are fitted.
`update_dobj_types`
`update_obj`	Updates the domain of the data object with the passed data.