PreprocessResponse

code_loader.contract.datasetclasses.PreprocessResponse

An object that holds the samples data and length. This object is generated in the Preprocessing Function for each dataset slice. Then passed to the input encoders, ground_truth encoders and metadata functions as an argument.
@dataclass
PreprocessResponse:
    length: int,
    data: Any,
For more on PreprocessResponse:
Args
Text
length
(int) value with the amount of samples in the data.
data
(Any) Dictionary / pandas.DataFrame / List or any object that describes the dataset features. The data parameter is later passed to the input encoders, ground_truth encoders, and metadata functions.
Examples
Basic Usage
from code_loader.contract.datasetclasses import PreprocessResponse
preprocess_response = PreprocessResponse(length=len(x_df.index), data=x_df)
Within the Preprocess Function
Full examples can be found at the Dataset Integration section of the following guides:
​MNIST Guide​
​IMDB Guide​

Args	Text
`length`	(int) value with the amount of samples in the data.
`data`	(Any) Dictionary / pandas.DataFrame / List or any object that describes the dataset features. The `data` parameter is later passed to the input encoders, ground_truth encoders, and metadata functions.

datasetclasses

visualizer_classes

Last modified 10mo ago