Permutation¶

class synthyverse.generators.permutation_generator.PermutationGenerator(random_state=0, permutation_rate=0.5, **kwargs)[source]¶

Bases: TabularBaseGenerator

Permutation-based generator for tabular synthetic data.

Generates synthetic data by randomly permuting a fraction of values in each column of the training data. This is a simple baseline generator, mostly used for testing purposes.

Parameters:

random_state (int) – Random seed for reproducibility. Default: 0.
permutation_rate (float) – Fraction of values to permute in each column (0.0 to 1.0). Default: 0.5.
**kwargs – Additional arguments passed to TabularBaseGenerator.

Example

>>> import pandas as pd
>>> from synthyverse.generators import PermutationGenerator
>>>
>>> # Load data
>>> X = pd.read_csv("data.csv")
>>> discrete_features = ["category_col"]
>>>
>>> # Create generator
>>> generator = PermutationGenerator(
...     permutation_rate=0.5,
...     random_state=42
... )
>>>
>>> # Fit and generate
>>> generator.fit(X, discrete_features)
>>> X_syn = generator.generate(1000)