holisticai.datasets.DataLoader#
- class holisticai.datasets.DataLoader(dataset: Dataset, batch_size: int, dtype: Literal['jax', 'pandas', 'numpy'])[source]#
A class that represents a data loader for a dataset. This class is used to load the dataset in batches in a specific data type (jax, pandas, or numpy).
Parameters
- dataset: Dataset
The dataset to load.
- batch_size: int
The size of the batch.
- dtype: Literal[“jax”, “pandas”, “numpy”]
The data type to load the dataset in.
Example
>>> from holisticai.datasets import load_dataset >>> dataset = load_dataset("adult") >>> dataloader = DataLoader(dataset, batch_size=32, dtype="jax") >>> for batch in dataloader: ... print(batch)