Search
⌃K

set_unlabeled_data_preprocess

code_loader.leap_binder.set_unlabeled_data_preprocess
The leap_binder.set_unlabeled_data_preprocess binding function points to a preprocessing, similar to the Preprocessing Function, but points to unlabeled data lacking the ground-truth values.
This is often used to prioritize samples for labeling, which can be done by using the Fetch Similar analysis.
code_loader.leap_binder.set_unlabeled_data_preprocess(
function=Callable[[], PreprocessResponse]
)
Args
Text
function
(Callable) This parameter points to the Preprocess Function mentioned above.

Examples

Basic Usage

from code_loader import leap_binder
from code_loader.contract.datasetclasses import PreprocessingResponse
# Preprocessing Function
def unlabeled_preprocessing_func() -> PreprocessingResponse:
...
return PreprocessingResponse(length=len(unlabeled_df), data=unlabeled_df)
leap_binder.set_unlabeled_data_preprocess(function=unlabeled_preprocessing_func)
Usage within the full script can be found at the Dataset Script.

Guides

Full examples can be found at the Dataset Integration section of the following guides: