set_ground_truth

code_loader.leap_binder.set_ground_truth

The leap_binder.set_ground_truth binding function points to the Ground Truth Encoder and name for reference.
code_loader.leap_binder.set_ground_truth(
    function=Callable[[int, PreprocessingResponse], np.ndarray]
    name=str
)
Args
Text
function
(Callable) This parameter points to the Ground Truth Encoder function mentioned above.
name
(str) with the given name of the input, e.g. image
Examples
Basic Usage
from code_loader import leap_binder
from code_loader.contract.datasetclasses import PreprocessResponse
​
...
def gt_encoder(idx: int, preprocessing: Union[PreprocessResponse, list]) -> np.ndarray:
    return preprocessing.data.iloc[idx]['ground_truth'].astype('float32')
​
leap_binder.set_ground_truth(
    function=gt_encoder,
    gt_name='classes'
)
Usage within the full script can be found at Integration Script.
Guides
Full examples can be found at the Dataset Integration section of the following guides:
​MNIST Guide​
​IMDB Guide​

Args	Text
`function`	(Callable) This parameter points to the Ground Truth Encoder function mentioned above.
`name`	(str) with the given name of the input, e.g. image

set_input

set_metadata

Last modified 8mo ago