Add metadata for number of string features
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- Dominant language
- PHP
- Stars
- 755
- Forks
- 128
- PR merge metrics
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Description
Hi! OpenML is still awesome, thanks some more.
So I'm doin' the classification thing, using the Python client like so:
ds = get_dataset(373)
ds.get_data(target=ds.default_target_attribute, return_categorical_indicator=True)
But alas:
PyOpenMLError: Dataset not compatible, PyOpenML cannot handle string features
Which is fine, I can skip those datasets, but... it seems not by filtering on metadata. While there are metadata attributes for NumberOfNumericFeatures, NumberOfSymbolicFeatures, and NumberOfBinaryFeatures, strings get no love. ☹️
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing how dataset metadata exposes NumberOfNumericFeatures, NumberOfSymbolicFeatures, and NumberOfBinaryFeatures, then inspect the Python client's get_data compatibility check for string features. Done means exposing a string-feature count in metadata so users can identify or filter incompatible datasets before calling get_data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- php, python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100