set_input

code_loader.leap_binder.set_input

The leap_binder.set_input binding function points to Input Encoder and name for reference.
code_loader.leap_binder.set_input(
    function=Callable[[int, PreprocessResponse], np.ndarray]
    name=str
)
Args
Text
function
(Callable) This parameter points to the Input 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
from code_loader.contract.enums import DatasetInputType
​
...
def image_input_encoder(idx: int, subset: PreprocessResponse) -> np.ndarray:
    return subset.data.iloc[idx]['image'].astype('float32')
​
leap_binder.set_input(
    function=image_input_encoder,
    input_name='image'
)
Usage within the full script can be found at Dataset 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 Input Encoder function mentioned above.
`name`	(str) with the given name of the input, e.g. image.

set_unlabeled_data_preprocess

set_ground_truth

Last modified 10mo ago