How can we create more synthetic data?

[limhasic]

i tried

child_samples = child_model.sample(
    n_samples = len(child_df),
    input_unique_ids=parent_samples[join_on],
    input_df=parent_samples.drop(join_on, axis=1),
    gen_batch=64,
     )

but, n_samples = len(child_df), wasn't work

[limhasic]

Is this the only alternative?

child_samples = [] for n_child, df in parent_samples.sort_values("n_child").groupby("n_child"): \ print(n_child) _child_samples = child_rtf.sample(input_unique_ids=df[join_on], input_df=df.drop(join_on, axis=1),gen_batch=64) child_samples.append(_child_samples)