Support for columns contains only numbers.

[gszecsenyi]

In the case where the column names contain only numbers, typically when scaling the data, the code doesn't work well because the first value of the variable will be a numeric value, not a string, to which you cannot append a string later.

The executed commands are:

synthesizer = SingleTablePreset(
metadata,
name='FAST_ML'
)

synthesizer.fit(
data=test_df
)

synthetic_data = synthesizer.sample(
num_rows=500
)

synthetic_data.head()

The output:

File [~/GitHub/ml_network_analysis_experiments/.venv/lib/python3.9/site-packages/rdt/transformers/base.py:367](https://file+.vscode-resource.vscode-cdn.net/Users/**********/GitHub/ml_network_analysis_experiments/~/GitHub/ml_network_analysis_experiments/.venv/lib/python3.9/site-packages/rdt/transformers/base.py:367), in BaseTransformer._set_seed(self, data) 365 hash_value = self.columns[0] 366 for value in data.head(5): --> 367 hash_value += str(value) 369 hash_value = int(hashlib.sha256(hash_value.encode('utf-8')).hexdigest(), 16) 370 self.random_seed = hash_value % ((2 ** 32) - 1) # maximum value for a seed

This is why this modifications are needed.

self.column_prefix = '#'.join(map(str, self.columns))

and

hash_value = str(self.columns[0])

[npatki]

Hello! Thanks for your interest in contributing to the SDV software. Before we are able to review or approve your code changes, we require that you read and sign our new Contributor License Agreement (CLA).

To request a CLA, please fill out the required information in this form: https://bit.ly/sdv-cla-form

Once we receive your submission, we'll get back to you with more details. Thanks, and let us know if you have any questions.

[gszecsenyi]

Thank you, I submitted my contact data.

[gszecsenyi]

Is there any update? :)