Add Pandas to_dict adapter transform

[LarsKue]

Usage:

adapter = bf.Adapter().to_dict()
df = pd.DataFrame(...)
adapter(df)
>>> dict(...)

Automatically converts any object and category columns to one-hot encodings.

This is nice for datasets that are based on pandas.DataFrame without requiring too much manual conversion in those datasets. This transform should always be used first, as it assumes the sole input is a pandas.DataFrame.

Docs are still missing, if anyone wants to contribute this feel free to!

[Copilot]

Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.

Comments suppressed due to low confidence (1)

bayesflow/adapters/transforms/to_dict.py:26

• [nitpick] Use the existing 'value' variable for type checking instead of re-referencing data[key] to improve clarity. For example, change it to 'if isinstance(value, pd.Series):'.

if isinstance(data[key], pd.Series):

[codecov]

Codecov Report

Attention: Patch coverage is 91.66667% with 3 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
bayesflow/adapters/transforms/to_dict.py	87.50%	3 Missing ⚠️

Files with missing lines	Coverage Δ
bayesflow/adapters/adapter.py	81.63% <100.00%> (+0.48%)	⬆️
bayesflow/adapters/transforms/__init__.py	100.00% <100.00%> (ø)
bayesflow/adapters/transforms/split.py	78.84% <100.00%> (+0.41%)	⬆️
bayesflow/adapters/transforms/to_array.py	79.16% <100.00%> (ø)
bayesflow/adapters/transforms/to_dict.py	87.50% <87.50%> (ø)

... and 1 file with indirect coverage changes

[LarsKue]

@paul-buerkner if test pass, could you please add your review and then merge?

[paul-buerkner]

Looks good to me. Waiting for checks to pass and then we can merge.