Algorithm

`Algorithm`#

class Algorithm(dataset: Dataset, k: int)#

Bases: ABC

Abstract class for implementing k-anonymization algorithms.

Parameters:

dataset (Dataset) – The Dataset object holding the original data and its metadata.
k (int) – The privacy parameter k.

Variables:

k (int) – The privacy parameter k.
dataset (Dataset) – The Dataset object holding the original data and its metadata.
org_data (ITableDF) – The original data extracted from dataset.
anon_data (ITableDF or None) – The anonymized data.
suppressed_qids (list) – The records suppressed (removed) from the original data.

Methods

`_construct_anon_data`	Helper method to finalize and wrap the anonymized data.
`anonymize`	The core anonymization logic to be implemented by subclasses.

_construct_anon_data(data, columns, table_name='Anonymized Data')#

Helper method to finalize and wrap the anonymized data.

Converts anonymized data into an ITableDF object for standardized display and further analysis.

Parameters:

data (array-like) – The anonymized data.
columns (list) – The list of column names for the new dataframe.
table_name (str, optional) – A descriptive label for the resulting table.

abstractmethod anonymize()#

The core anonymization logic to be implemented by subclasses.

This method should transform self.anon_data such that it satisfies the k-anonymity requirement.

Attributes